Welcome to the Analog/Mixed Signal VLSI Research Group at Arizona State University. Our research interests are focused in the following broad areas:
Analog and mixed signal integrated circuits with focus on high energy efficiency data converters and transceiver designs, and applications of machine learning for improving data converter performance
Intelligent sensors for personalized healthcare that involves design of in-memory computing analog neuromorphic circuits for wearable devices that monitor user health in real-time and provide actionable inference
Hardware security with focus on primitives (true random number generators and physical unclonable functions), on-chip machine learning circuits for detecting security threats and techniques to address reliability of machine learning circuits
Motivated, prospective group members are encouraged email arindam.sanyal[at]asu.edu with resume and a brief description of research area(s) of interest.