Professor Kim's research is focused on two important aspects of information processing — efficient description of data and reliable transmission of it. Together they span a wide spectrum of problems in statistical signal processing and information theory, motivated by practical challenges as well as theoretical curiosity. He explores fundamental principles behind the theory of information processing and provides implementable guidelines for practice.

Young-Han Kim is an associate professor in the Department of Electrical and Computer Engineering at the University of California, San Diego. Professor Kim's research primarily focuses on network information theory and the role of feedback in communication networks. More broadly, he is interested in statistical signal processing and information theory, with applications in communication, control, computation, networking, data compression, and learning.

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, and the 2012 IEEE Information Theory Paper Award. He is currently on the Editorial Board of the IEEE Transactions on Information Theory, serving as an Associate Editor for Shannon theory. He is also serving as a Distinguished Lecturer for the IEEE Information Theory Society.