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Young-Han Kim received his B.S. degree in Electrical Engineering from Seoul National University in 1996 and his Ph.D. degree in Electrical Engineering (as well as M.S. degrees in Statistics and in Electrical Engineering) from Stanford University in 2006. Since then he has been on the faculty of the Department of Electrical and Computer Engineering and the Halicioglu Data Science Institute at the University of California, San Diego, where he is a Professor. He is currently on leave from UCSD, serving as CEO of Gauss Labs, a startup focusing on industrial AI. His research interests include information theory, signal processing, machine learning, data science, artificial intelligence, mathematical engineering, and their applications in science and engineering (communications, networking, cryptography, microelectronics, manufacturing, and bioinformatics). He has coauthored a highly cited textbook ``Network Information Theory'' (Cambridge University Press, 2011) and a recent monograph ``Fundamentals of Index Coding'' (Now Publishers, 2018). He has received several awards and honors for his contributions, including the NSF CAREER Award (2008), the US-Israel BSF Bergmann Memorial Award (2009), the IEEE Information Theory Paper Award (2012), and the first IEEE James L. Massey Research and Teaching Award (2015). He is a fellow of the IEEE. 

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