| 2026 | ISLPED | COSMOS: Designing Energy-Efficient Context-Aware Multimodal Cognitive Systems. | Arghadip Das, Yatharth Agarwal, Soumendu Kumar Ghosh, Arnab Raha, Vijay Raghunathan |
| 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 |
| 2024 | ISLPED | SwiSS: Switchable Single-Sided Sparsity-based DNN Accelerators. | Shamik Kundu, Soumendu Kumar Ghosh, Arnab Raha, Deepak A. Mathaikutty |
| 2024 | VLSID | HARVEST: Towards Efficient Sparse DNN Accelerators using Programmable Thresholds. | Soumendu Kumar Ghosh, Shamik Kundu, Arnab Raha, Deepak A. Mathaikutty, Vijay Raghunathan |
| 2020 | ISLPED | Approximate inference systems (AxIS): end-to-end approximations for energy-efficient inference at the edge. | Soumendu Kumar Ghosh, Arnab Raha, Vijay Raghunathan |