| 2026 | ISLPED | COSMOS: Designing Energy-Efficient Context-Aware Multimodal Cognitive Systems. | Arghadip Das, Yatharth Agarwal, Soumendu Kumar Ghosh, Arnab Raha, Vijay Raghunathan |
| 2026 | VLSID | RamForm: A Ramanujan Wavelet Transform-Based Accelerator for Energy-Efficient Signal Processing. | Arya Pandit, Soham Das, Arghadip Das, Debaprasad De, Arnab Raha, Mrinal Kanti Naskar |
| 2025 | IJCNN | GraNNite: Enabling High-Performance Execution of Graph Neural Networks on Resource-Constrained Neural Processing Units. | Arghadip Das, Shamik Kundu, Arnab Raha, Soumendu Kumar Ghosh, Deepak Mathaikutty, Vijay Raghunathan |
| 2025 | ISLPED | Demo Abstract: ECO: Low Power Context-Aware Multimodal AI on NPUs. | Arghadip Das, Yatharth Agarwal, Soumendu Kumar Ghosh, Arnab Raha, Vijay Raghunathan |
| 2025 | ISLPED | Demo Abstract: A Low-Power Real-Time Hardware Accelerator for Edge Detection Using Stochastic Computing. | Priyajit Ghosh, Rajarshi Mukherjee, Auro Anand Saha, Sutirtha Naha, Arghadip Das, Arnab Raha, Mrinal Kanti Naskar |
| 2021 | VLSID | HIPER: Low Power, High Performance and Area-Efficient Hardware Accelerators for Hidden Periodicity Detection using Ramanujan Filter Banks. | Arghadip Das, Chandrachur Majumder, Debaprasad De, Arnab Raha, Mrinal Kanti Naskar |