A 16-channel 1.1mm2implantable seizure control SoC with sub-μW/channel consumption and closed-loop stimulation in 0.18µm CMOS M Shoaran, M Shahshahani, M Farivar, J Almajano, A Shahshahani, ... 2016 IEEE Symposium on VLSI Circuits (VLSI-Circuits), 1-2, 2016 | 41 | 2016 |
An all-digital spike-based ultra-low-power IR-UWB dynamic average threshold crossing scheme for muscle force wireless transmission A Shahshahani, M Shahshahani, PM Ros, A Bonanno, M Crepaldi, ... Proceedings of the 2015 Design, Automation & Test in Europe Conference …, 2015 | 21 | 2015 |
Memory optimization techniques for fpga based cnn implementations M Shahshahani, P Goswami, D Bhatia 2018 IEEE 13th Dallas Circuits and Systems Conference (DCAS), 1-6, 2018 | 17 | 2018 |
A framework for modeling, optimizing, and implementing dnns on fpga using hls M Shahshahani, B Khabbazan, M Sabri, D Bhatia 2020 IEEE 14th Dallas Circuits and Systems Conference (DCAS), 1-6, 2020 | 9 | 2020 |
Resource and performance estimation for CNN models using machine learning M Shahshahani, D Bhatia 2021 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 43-48, 2021 | 6 | 2021 |
An automated tool for implementing deep neural networks on fpga M Shahshahani, M Sabri, B Khabbazan, D Bhatia 2021 34th International Conference on VLSI Design and 2021 20th …, 2021 | 6 | 2021 |
Mlsbench: A benchmark set for machine learning based fpga hls design flows P Goswami, M Shahshahani, D Bhatia 2022 IEEE 13th Latin America Symposium on Circuits and System (LASCAS), 1-4, 2022 | 5 | 2022 |
Mlsbench: A synthesizable dataset of hls designs to support ml based design flows P Goswami, M Shahshahani, D Bhatia Proceedings of the 2020 ACM/SIGDA International Symposium on Field …, 2020 | 4 | 2020 |
Robust Estimation of FPGA Resources and Performance from CNN Models P Goswami, M Shahshahani, D Bhatia 2022 35th International Conference on VLSI Design and 2022 21st …, 2022 | 2 | 2022 |
Ppa based cnn architecture explorer M Shahshahani, D Bhatia 2022 IEEE 13th Latin America Symposium on Circuits and System (LASCAS), 01-04, 2022 | 1 | 2022 |
Framework for Mapping Convolutional Neural Networks on FPGAs M Shahshahani | 1 | 2021 |