AFE-CIM: A Current-Domain Compute-In-Memory Macro for Analog-to-Feature Extraction. - Sudarshan Sharma; Wei-Chun Wang 001; Coleman DeLude; Minah Lee; Nael Mizanur Rahman; Narasimha Vasishta Kidambi; Justin Romberg; Saibal Mukhopadhyay (ESSCIRC, 2023)

Energy-Efficient Sensor Platform using Reliable Analog-to-Feature Extraction. - Minah Lee; Sudarshan Sharma; Wei Chun Wang 001; Saibal Mukhopadhyay (SENSORS, 2023)

Cognitive Sensing for Energy-Efficient Edge Intelligence. - Minah Lee; Sudarshan Sharma; Wei Chun Wang 001; Hemant Kumawat; Nael Mizanur Rahman; Saibal Mukhopadhyay (DATE, 2024)

Measurement of Aging Effect on an Analog Computing-In-Memory Macro in 28nm CMOS. - Wei-Chun Wang 001; Shida Zhang; Sudarshan Sharma; Minah Lee; Saibal Mukhopadhyay (IRPS, 2024)

Measurement of Aging Effect in a Digitally Controlled Inductive Voltage Regulator in 65nm. - Shida Zhang; Nael Mizanur Rahman; Wei-Chun Wang 001; Narasimha Vasishta Kidambi; Carlos Tokunaga; Saibal Mukhopadhyay (IRPS, 2024)

Cryogenic Operation of Computing-In-Memory based Spiking Neural Network. - Laith A. Shamieh; Wei-Chun Wang 001; Shida Zhang; Rakshith Saligram; Amol D. Gaidhane; Yu Cao 001; Arijit Raychowdhury; Suman Datta; Saibal Mukhopadhyay (ISLPED, 2024)

BeamCIM: A Compute-In-Memory based Broadband Beamforming Accelerator using Linear Embedding. - Nael Mizanur Rahman; Sudarshan Sharma; Coleman DeLude; Wei Chun Wang 001; Justin Romberg; Saibal Mukhopadhyay (RWS, 2024)

Analog In-Memory-Compute with Multi-bit Silicon Ferro FinFET Array for Improved Energy and Area Efficiency. - Eknath Sarkar; Dyutimoy Chakraborty; Wei-Chun Wang 001; Khandker Akif Aabrar; Sharadindu Gopal Kirtania; Omkar Phadke; Chengyang Zhang; Emmanuel Quezada; Jaewon Shin; Shida Zhang; Asif Islam Khan; Shimeng Yu; et al. (IMW, 2025)

A Comparative Analysis of Aging Effects on Computing-in-Memory Systems in 28nm CMOS. - Shida Zhang; Wei-Chun Wang 001; Carlos Tokunaga; Saibal Mukhopadhyay (IRPS, 2025)

Fully Digital Ultra-low-bit Linear Embedding Beamforming System with Quantization Compensation. - Xiangyu Mao; Coleman DeLude; Wei-Chun Wang 001; Justin Romberg; Saibal Mukhopadhyay (RWS, 2025)

MIX-ACIM: A 28-nm Mixed-Precision Analog Compute-in-Memory With Digital Feature Restoration for Vector-Matrix Multiplication. - Wei-Chun Wang 001; Shida Zhang; Laith A. Shamieh; Narasimha Vasishta Kidambi; Isha Chakraborty; Saibal Mukhopadhyay (IEEE Solid State Circuits Lett., 2025)

Energy-Efficient and Reliable Sensor Platform Based on Analog-to-Feature Extraction. - Minah Lee; Sudarshan Sharma; Wei Chun Wang 001; Saideep Cherukuri; Saibal Mukhopadhyay (IEEE Trans. Circuits Syst. Artif. Intell., 2025)

Broadband Beamforming Using Low-Bit Precision Dimensionality Reduction. - Coleman DeLude; Xiangyu Mao; Sudarshan Sharma; Wei-Chun Wang 001; Saibal Mukhopadhyay; Mark A. Davenport; Justin Romberg (IEEE J. Sel. Top. Signal Process., 2025)

A 92.5 TOPS/W Fully-Analog Multi-Layer Computing-in-Memory for State-Space Models in 28nm CMOS. - Laith A. Shamieh; Wei-Chun Wang 001; Narasimha Vasishta Kidambi; Saibal Mukhopadhyay (CICC, 2026)

A 256-Element Slepian Beamforming Accelerator With Analog Compute-In-Memory Multiplication and Accumulation. - Wei-Chun Wang 001; Shida Zhang; Coleman DeLude; Laith A. Shamieh; Nael Mizanur Rahman; Isha Chakraborty; Justin Romberg; Saibal Mukhopadhyay (IEEE Solid State Circuits Lett., 2026)