Arindam Sanyal

Arindam Sanyal is an Assistant Professor in the School of Electrical, Computer and Energy Engineering at Arizona State University. Prior to joining ASU, he served as an Assistant Professor at the University at Buffalo (SUNY) and worked as an Analog Design Engineer at Silicon Laboratories (2015-2016). He earned his PhD in Electrical and Computer Engineering from the University of Texas at Austin (2015), an M.Tech from IIT Kharagpur (2009), and a B.E. in Electrical Engineering from Jadavpur University (2007).

• Education: PhD (University of Texas at Austin), M.Tech (IIT Kharagpur), B.E. (Jadavpur University)
• Research Areas: Analog/Mixed Signal Circuits, Biomedical Sensors, Hardware Security, Neuromorphic Computing, Machine Learning in Circuits, Low-Power Electronics

His recent work focuses on integrating machine learning with analog/mixed-signal circuits for real-time health monitoring, hardware security, and energy-efficient AI. Publications highlight trends in VCO ADCs, Reservoir Computing, and Stochastic Delta-Sigma Modulators. A notable NSF CRII Grant (2020) supports his research on analog AI for environmental monitoring. Teaching includes courses like Analog Integrated Circuits and Analog to Digital Converters. He leads the Mixed Signals Lab at ASU, developing flexible electronics and sensor fusion systems.