I am a Ph.D. Student in the School of Electrical and Computer Engineering at Georgia Tech.
My work spans multimodal learning for autonomous perception, state-space models for efficient sequential processing, and HW-SW co-design for sensor processing pipelines for real-time edge inference. I am also interested in large language models, generative modeling, efficient computer vision, learning from unstructured data, and quantum sensing.
Research Interests: Hardware-ML Co-Design Multimodal Learning State-Space Models Lightweight Neural Architectures Large Language Models Efficient Machine Learning Quantum Machine Learning Quantum Sensing
| Date | Update |
|---|---|
| Mar 2026 | 🎤 SSMRadNet Oral Presentation at WACV 2026, Tucson, Arizona |
| Feb 2026 | 🎉 RAVEN: Radar Adaptive Vision Encoders for Efficient Chirp-wise Object Detection and Segmentation accepted at CVPR 2026, Denver! |
| Sep 2025 | 🎉 SSMRadNet accepted at WACV 2026 in the first round (~6% of Round 1 submissions) |
| Oct 2025 | 📄 Towards Efficient and Robust Sequential Chirp-based Data-Driven Radar Processing for Object Detection published in IEEE Transactions on Radar Systems |
| Apr 2025 | 🏆 4 papers accepted — TERRAMORPHnet nominated for Best Paper at IGARSS 2025 |
| Mar 2025 | 📖 Book chapter on hyperparameter selection for weather forecasting in Studies in Computational Intelligence |
| Jan 2025 | 🏆 DeepEyeNet nominated for Best Paper at IEEE SSCI |
| Aug 2024 | 🎓 Started PhD at Georgia Tech |
| 🌟 |
RAVEN: Radar Adaptive Vision Encoders for Efficient Chirp-wise Object Detection and Segmentation Anuvab Sen, Mir Sayeed Mohammad, Saibal Mukhopadhyay ✅ Accepted at CVPR 2026 · Denver, Colorado · June 2026 |
| 🌟 |
SSMRadNet: A Sample-wise State-Space Framework for Efficient and Ultra-Light Radar Segmentation and Object Detection Anuvab Sen, Mir Sayeed Mohammad, Saibal Mukhopadhyay ✅ WACV 2026 · First Round (~6% acceptance) · 🎤 Oral Presentation · Tucson, Arizona · Mar 2026 |
| 📄 |
Towards Efficient and Robust Sequential Chirp-based Data-Driven Radar Processing for Object Detection S. Sharma, H. Kumawat, Anuvab Sen, J. Park, Saibal Mukhopadhyay 📰 IEEE Transactions on Radar Systems, Jan 2025 |
📚 Other Selected Publications (click to expand)
| Paper | Venue | Year |
|---|---|---|
| TERRAMORPHnet: Deep Fusion Ensemble for Mars Hi-Rise Terrain Classification | IGARSS 🏆 Best Paper Nominee | 2025 |
| EEMamba: A Hardware-Aware Energy-Efficient State-Space Model for Eurosat Classification | IGARSS | 2025 |
| DeepEyeNet: Adaptive Genetic Bayesian Framework for Glaucoma Diagnosis | IEEE SSCI 🏆 Best Paper Nominee | 2025 |
| QGAPHEnsemble: Hybrid QLSTM Network Ensemble for Weather Forecasting | IJCNN (Accepted) | 2024 |
| QGAPHnet: Quantum Genetic Algorithm Based Hybrid QLSTM for Soil Moisture | IGARSS | 2024 |
| HBO-DEViT: Vision Transformer for Ship-Iceberg Categorisation in Arctic SAR | IGARSS | 2024 |
| Benchmarking Metaheuristic-Integrated QAOA Against Quantum Annealing | SIC / QIP 2024 Taipei | 2024 |
| DE-ViT: Vision Transformer for Early Detection of Alzheimer's Disease | NCC | 2024 |
Languages
ML / Quantum
Web & Tools
- 🥇 Best Paper Nominee — IGARSS 2025 (TERRAMORPHnet)
- 🥇 Best Paper Nominee — IEEE SSCI 2025 (DeepEyeNet)
- 🎓 SRC Research Scholars Program — Georgia Tech
✈️ IEEE GRSS Travel Grant ($1,725) — IGARSS 2024✈️ IEEE CIS Travel Grant — SSCI 2023, Mexico- 🏅 VLSID 2024 Fellowship — IEEE VLSI Design Conference
- 🇨🇦 Mitacs Globalink Research Scholarship — McMaster University, Canada
- 🇩🇪 DAAD WISE Scholarship — Working Internships in Science and Engineering, Germany
- 🏅 GAABESU Research Award — Outstanding Undergraduate Research
I'm always open to research collaborations in quantum sensing, efficient ML, and hardware co-design.
📍 Atlanta, GA · Georgia Institute of Technology · GREEN Lab