MC2RAM: Markov Chain Monte Carlo Sampling in SRAM for Fast Bayesian Inference. - Priyesh Shukla; Ahish Shylendra; Theja Tulabandhula; Amit Ranjan Trivedi (ISCAS, 2020)

Fault Attack Detection in AES by Monitoring Power Side-Channel Statistics. - Ahish Shylendra; Priyesh Shukla; Swarup Bhunia; Amit Ranjan Trivedi (ISQED, 2020)

Non-parametric Statistical Density Function Synthesizer and Monte Carlo Sampler in CMOS. - Ahish Shylendra; Sina Haji Alizad; Priyesh Shukla; Amit Ranjan Trivedi (VLSID, 2020)

MC2RAM: Markov Chain Monte Carlo Sampling in SRAM for Fast Bayesian Inference. - Priyesh Shukla; Ahish Shylendra; Theja Tulabandhula; Amit Ranjan Trivedi (CoRR, 2020)

Low Power Unsupervised Anomaly Detection by Non-Parametric Modeling of Sensor Statistics. - Ahish Shylendra; Priyesh Shukla; Saibal Mukhopadhyay; Swarup Bhunia; Amit Ranjan Trivedi (CoRR, 2020)

Low Power Unsupervised Anomaly Detection by Nonparametric Modeling of Sensor Statistics. - Ahish Shylendra; Priyesh Shukla; Saibal Mukhopadhyay; Swarup Bhunia; Amit Ranjan Trivedi (IEEE Trans. Very Large Scale Integr. Syst., 2020)

Compute-in-Memory Upside Down: A Learning Operator Co-Design Perspective for Scalability. - Shamma Nasrin; Priyesh Shukla; Shruthi Jaisimha; Amit Ranjan Trivedi (DATE, 2021)

Analog-Domain Time-Series Moment Extraction for Low Power Predictive Maintenance Analytics. - Ahish Shylendra; Priyesh Shukla; Swarup Bhunia; Amit Ranjan Trivedi (AICAS, 2022)

Non van-Neumann Anomaly Detection in Multi-Channel Time-Series using Charge Trap Transistor Crossbars. - Ahish Shylendra; Priyesh Shukla; Amit Ranjan Trivedi (ISCAS, 2022)

Ultralow-Power Localization of Insect-Scale Drones: Interplay of Probabilistic Filtering and Compute-in-Memory. - Priyesh Shukla; Ankith Muralidhar; Nick Iliev; Theja Tulabandhula; Sawyer B. Fuller; Amit Ranjan Trivedi (IEEE Trans. Very Large Scale Integr. Syst., 2022)

Robust Monocular Localization of Drones by Adapting Domain Maps to Depth Prediction Inaccuracies. - Priyesh Shukla; Sureshkumar S.; Alex C. Stutts; Sathya Ravi; Theja Tulabandhula; Amit Ranjan Trivedi (ICASSP, 2023)

MC-CIM: Compute-in-Memory With Monte-Carlo Dropouts for Bayesian Edge Intelligence. - Priyesh Shukla; Shamma Nasrin; Nastaran Darabi; Wilfred Gomes; Amit Ranjan Trivedi (IEEE Trans. Circuits Syst. I Regul. Pap., 2023)

Navigating the Unknown: Uncertainty-Aware Compute-in-Memory Autonomy of Edge Robotics. - Nastaran Darabi; Priyesh Shukla; Dinithi Jayasuriya; Divake Kumar; Alex C. Stutts; Amit Ranjan Trivedi (DATE, 2024)

MOSAIC: Collaborative Compute-in-Memory µArrays for Flexible and Scalable Deep Learning. - Amit Ranjan Trivedi; Shamma Nasrin; Priyesh Shukla; Nastaran Darabi; Divake Kumar; Dinithi Jayasuriya; Nethmi Jayasinghe (VTS, 2025)