B.S. in electrical engineering, National Taiwan University, Taipei, Taiwan, 1999
M.A. in electrical engineering, Princeton University, Princeton, NJ, USA, 2002
Ph.D. in electrical engineering, Princeton University, Princeton, NJ, USA, 2005
Associate Professor: 2012-2017.
Assistant Professor: 2006-2012
Network coding: Graph-theoretic capacity characterization of inter-session network coding, algorithmic applications of network coding, Shannon capacity characterization of wireless network coding, network coded feedback, and network-coding protocol design and implementation.
Coding Theory: Iterative decoding algorithms, low-density parity-check (LDPC) codes, multi-phase multi-level codes, soft decoding algorithm for Reed-Solomon codes.
Information and Communication Theory: Multi-user detection using graph-based BP algorithms, dirty paper codes, and network information theory.
Signal Processing: turbo equalization and space time codes.
Control Theory: Optimal stopping theory.
Dr. Wang received the National Science Foundation Faculty Early Career Development (CAREER) Award in 2009.
Chih-Chun Wang is a Professor of the School of Electrical and Computer Engineering of Purdue University. He received the B.E. degree in E.E. from National Taiwan University, Taipei, Taiwan in 1999, the M.S. degree in E.E., the Ph.D. degree in E.E. from Princeton University in 2002 and 2005, respectively. He worked in Comtrend Corporation, Taipei, Taiwan, as a design engineer in 2000 and spent the summer of 2004 with Flarion Technologies, New Jersey. In 2005, he held a post-doctoral researcher position in the Department of Electrical Engineering of Princeton University. He joined Purdue University in 2006, and became a Professor in 2017. He is currently a senior member of IEEE and served as an associate editor of IEEE Transactions on Information Theory during 2014 to 2017. He served as the technical co-chair of the 2017 IEEE Information Theory Workshop. His current research interests are in the latency 5G wireless networks and the corresponding protocol design, information theory, network coding, and cyber-physical systems. Other research interests of his fall in the general areas of networking, optimal control, information theory, detection theory, and coding theory.