Prof. Saptarshi Das
Associate Professor, Department of Engineering Science and Mechanics
Materials Research Institute
Pennsylvania State University
Title: A Bio-inspired Era of Sensing, Computing, Storage, and Security based on 2D Materials and Devices
Abstract: My group is developing a new paradigm of sensing, computing, storage, and hardware security inspired by the neurobiological architectures and neural algorithms found inside various animal brains that allow evolutionary success in resource constrained environments. Towards the realization of our vision, we exploit unique electronic and optoelectronic properties of layered two dimensional (2D) materials such as graphene, MoS2, WSe2, black phosphorous etc., to design high performance, ultra-low-power, artificially intelligent, and inherently secure solid state devices inspired by natural intelligence. For example, we have mimicked auditory information processing in barn owl, collision avoidance by locust, and subthreshold signal detection by paddlefish and cricket using stochastic resonance. We have also mimicked probabilistic computing in animal brains using low-power Gaussian synapses, and memristive graphene synapses and realized biomimetic devices that can emulate neurotransmitter release in chemical synapses and neural encoding in afferent neurons. We have also made these device secure through SAT-attack resistant hardware obfuscation using camouflaged 2D heterostructures and by realizing machine learning resilient and reconfigurable physically unclonable functions.
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