| 2026 | ISCAS | Balancing Speed and Accuracy for Robust Analog-Mixed Signal Circuit Design using Closed-Loop Reinforcement Learning with Ensemble Neural Network Surrogates. | Zuwei Guo, Jie Fu, Sumukh Prashant Bhanushali, Zehua Zeng, Imon Banerjee, Arindam Sanyal |
| 2026 | ISCAS | Residual Convolutional Neural Networks for Digital Calibration of Oversampled ADCs. | Shamma Nasrin, Matt Kinsinger, Anoop Bengaluru, Jia-Ching Chuang, Sumukh Prashant Bhanushali, Arindam Sanyal |
| 2026 | VTS | Late Breaking Results - A Systematic Vulnerability Analysis of MRAM-Based Compute-in-Memory against Side-Channel Attacks. | Hossein Pourmehrani, Yashas Krishnamohan, Sumukh Prashant Bhanushali, Saurabh Dhiman, Rajendra Bishnoi, Arindam Sanyal, Farshad Firouzi, Naghmeh Karimi |
| 2025 | VTS | Machine-learning based Blind Digital Calibration of Time-Interleaved ADC. | Sumukh Prashant Bhanushali, Shamma Nasrin, Debnath Maiti, Arindam Sanyal |
| 2024 | DAC | Late Breaking Results: Machine Learning Based Reference Ripple Error Suppression in Successive Approximation Register Analog-to-Digital Converters. | Debnath Maiti, Sumukh Prashant Bhanushali, Arindam Sanyal |
| 2024 | ISCAS | Enhancing Performance of SAR ADC through Supervised Machine Learning. | Sumukh Prashant Bhanushali, Arindam Sanyal |
| 2024 | VTS | Machine Learning Based Static and Dynamic Error Calibration in Data Converters. | Sumukh Prashant Bhanushali, Tushar Gupta, Debnath Maiti, Arindam Sanyal |
| 2022 | ISCAS | Real-time sepsis prediction using fusion of on-chip analog classifier and electronic medical record. | Sudarsan Sadasivuni, Monjoy Saha, Sumukh Prashant Bhanushali, Imon Banerjee, Arindam Sanyal |