Young-Han Kim is a professor in the Department of Electrical and Computer Engineering at the University of California, San Diego. Professor Kim's research primarily focuses on information theory and statistical signal processing, with applications in communication, control, computation, networking, data compression, and learning. He is a coauthor of the textbook ‘‘Network Information Theory.’’
Professor Kim received his B.S. degree with honors in Electrical Engineering from Seoul National University, in 1996, where he was a recipient of the General Electric Foundation Scholarship. After a three-and-half-year stint as a software architect at Tong Yang Systems, Seoul, Korea, working on several industry projects such as developing the communication infrastructure for then newly opening Incheon International Airport, he resumed his graduate studies at Stanford University, and received his Ph.D. degree in Electrical Engineering (M.S. degrees in Statistics and in Electrical Engineering) in 2006.
Professor Kim is a recipient of the 2008 NSF Faculty Early Career Development (CAREER) Award, the 2009 US–Israel Binational Science Foundation Bergmann Memorial Award, the 2012 IEEE Information Theory Paper Award, and the 2015 James L. Massey Research & Teaching Award for Young Scholars. Professor Kim served as a Distinguished Lecturer for the IEEE Information Theory Society (2012–2013) and an Associate Editor for the IEEE Transactions on Information Theory (2012–2014). He is a Fellow of the IEEE (2015). In 2020, he started an industrial AI company Gauss Labs in San Jose, California, and Seoul, Korea, as a founding member and CEO.