CREOL Fall Colloquium Series: Dr. Kyusang Lee - Ultimate Heterogeneous Integration towards Next Generation Artificial Intelligence of Things

Friday, September 16, 2022 11 a.m. to noon

Abstract: Recent advances in heterogeneous integration technology have made it possible to combine multiple functionalities on single system. Among various, remote epitaxy technique can produce single-crystalline membranes on graphene readily exfoliatable to form freestanding single-crystalline membranes. We have recently discovered that “any types” of single-crystalline compound materials, such as III-V, III-N, and complex oxides, can be epitaxially grown on graphene-coated substrates. The graphene is sufficiently thin such that crystalline orientation of substrates can be guided by the substrate beneath graphene. The slippery graphene surface allows the epitaxial films to be released from the substrate while the substrate can be reused. Based on this technology, various electronic and optoelectronic components can be fabricated and integrated. In particular, integration of sensors and artificial neural networks (ANNs) attract great interest for the applications of artificial intelligence of things (AIoTs). Here, I will discuss how this advanced technology revolutionizes various sensors integrated with neuromorphic components for edge computing towards AIoTs.

About the Speaker: Kyusang Lee is currently an Assistant Professor of Electrical and Computer Engineering and Materials Science and Engineering departments at University of Virginia. He received his B.S. degree from Korea University in 2005, M.S. degree from Johns Hopkins University in 2009, and Ph.D. degree from University of Michigan in 2015, all in Electrical Engineering. He was a postdoctoral fellow in the Department of Electrical Engineering and Computer Science at the University of Michigan, and a postdoctoral associate in the Department of Mechanical Engineering at Massachusetts Institute of Technology (MIT). His research interests highlight the use of thin-film compound semiconductors in optoelectronic devices, with a particular emphasis on applications for imaging and artificial intelligence. He is the recipient of the NSF career award, best student presentation award at the IEEE 38th Photovoltaic Specialist Conference and the UMEI postdoctoral fellowship.

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