Hi, I’m Abrar Hossain, a Graduate Research Assistant at The University of Toledo, and a Visitor Researcher at the National Center for Atmospheric Research (NCAR). I am currently pursuing my Master’s in Computer Science with a focus on High-Performance Computing (HPC) and Stochastic Modeling, Control, and Optimization. My research involves developing innovative system software solutions to optimize HPC systems for efficiency, reliability, and cost-effectiveness.
Previously, I have contributed to various research projects and published papers addressing real-world challenges in edge computing and resource-constrained environments. I’m passionate about pushing the boundaries of HPC applications and enjoy solving complex computational problems using Bayesian methods and machine learning techniques.
Before joining the University of Toledo, I completed my Bachelor’s in Electrical Engineering from Bangladesh.
- HPC Application Autotuning on Edge Devices
- Optimization of Edge Computing Systems for Scientific Workflows
- High-Performance Computing (HPC)
- Bayesian Optimization and Control
- Stochastic Modeling & Statistical Analysis
- Edge Computing & IoT
- Advanced Machine Learning Algorithms
- System Architecture for Scalable HPC
When I’m not optimizing HPC systems, I’m busy curating my playlists on Spotify or planning my next movie binge on Letterboxd.