On July 10, 2018, Prof. Chao Tian from Texas A&M University was invited to visit our faculty, and presented a research talk on "Code Constructions and Fundamental Limits for Communication in Networked Computer Systems" in Room 201 for teachers and graduate students.
Prof. Tian provided an overview and some new results on distributed data storage systems, multiuser caching systems, private information retrieval systems, etc, and showed that these systems can actually be viewed as the communication problem in networked computer systems. He also showed how algebraic coding and information theory can be utilized to improve the efficiency of such systems. The wonderful talk had attracted the teachers and students greatly, and also enriched their professional knowledge and broadened their horizons.
Dr. Chao Tian received the B.E. degree in Electronic Engineering from Tsinghua University, Beijing, China, in 2000 and the M.S. and Ph. D. degrees in Electrical and Computer Engineering from Cornell University, Ithaca, NY in 2003 and 2005, respectively. Dr. Tian was a postdoctoral researcher at Ecole Polytechnique Federale de Lausanne (EPFL) from 2005 to 2007, a member of technical staff--research at AT&T Labs--Research in New Jersey from 2007 to 2014, and an Associate Professor in the Department of Electrical Engineering and Computer Science at the University of Tennessee Knoxville from 2014 to 2017. He joined the Department of Electrical and Computer Engineering at Texas A&M University as an Associate Professor in 2017. Dr. Tian received the Liu Memorial Award at Cornell University in 2004, AT&T Key Contributor Award in 2010, 2011 and 2013, and 2014 IEEE ComSoc DSTC Data Storage Best Paper Award. He was an Associate Editor for the IEEE Signal Processing Letters from 2012 to 2014, and is currently an Editor for the IEEE Transactions on Communications and TPC member for several international conferences. Dr. Tian had coauthored over 100 peer-reviewed papers，including nearly 30 papers on IEEE Transactions on Information Theory, the flagship journal in the area of information theory.
