Adaptive Materials for Sensory Intelligence

Shriram Ramanathan, PhD
Rutgers-New Brunswick

Abstract: Autonomous systems of the future will require low power computers and haptic interfaces with sensing capabilities. In this presentation, the speaker will discuss the potential of emerging quantum materials as building blocks for neuromorphic computing and brain-machine interfaces. Specific examples with perovskite semiconductors that can adapt their properties to external stimulus will be highlighted as well as representative use cases in emulating biological intelligence.

Biography: Shriram Ramanathan is a professor and Rodkin-Weintraub Chair in Engineering in the Department of Electrical and Computer Engineering at Rutgers-New Brunswick. Previously he has held faculty positions at Purdue University and Harvard University. His research group conducts research in oxide semiconductors for neuromorphic computing; opto-electronics and collaborate with diverse research groups across engineering and natural sciences.