Invited Speakers
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David Tse |
David Tse received the B.A.Sc. degree in systems design engineering from University of Waterloo in 1989, and the M.S. and Ph.D. degrees in electrical engineering from Massachusetts Institute of Technology in 1991 and 1994 respectively. From 1994 to 1995, he was a postdoctoral member of technical staff at A.T. & T. Bell Laboratories. From 1995 to 2014, he was on the faculty of the University of California at Berkeley. He is currently the Thomas Kailath and Guanghan Xu Professor at Stanford University.
David Tse is the recipient of the 2017 Claude E. Shannon Award. Previously, he received a NSF CAREER award in 1998, the Erlang Prize from the INFORMS Applied Probability Society in 2000 and a Gilbreth Lectureship from the National Academy of Engineering in 2012. He received multiple best paper awards, including the Information Theory Society Paper Award in 2003, the IEEE Communications Society and Information Theory Society Joint Paper Awards in 2000, 2013 and 2015, the Signal Processing Society Best Paper Award in 2012 and the IEEE Communications Society Stephen O. Rice Prize in 2013. For his contributions to education, he received the Outstanding Teaching Award from the Department of Electrical Engineering and Computer Sciences at U.C. Berkeley in 2008 and the Frederick Emmons Terman Award from the American Society for Engineering Education in 2009. He is a coauthor, with Pramod Viswanath, of the text Fundamentals of Wireless Communication, which has been used in over 60 institutions around the world. He is the inventor of the proportional-fair scheduling algorithm used in all third and fourth-generation cellular systems.
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Lizhong Zheng |
Lizhong Zheng received the B.S and M.S. degrees, in 1994 and 1997 respectively, from the Department of Electronic Engineering, Tsinghua University, China, and the Ph.D. degree, in 2002, from the Department of Electrical Engineering and Computer Sciences, University of California, Berkeley. Since 2002, he has been working at MIT, where he is currently a professor of Electrical Engineering. His research interests include information theory, statistical inference, communications and networks theory. He received Eli Jury award from UC Berkeley in 2002, IEEE Information Theory Society Paper Award in 2003, and NSF CAREER award in 2004, and the AFOSR Young Investigator Award in 2007. He served as an associate editor for IEEE Transactions on Information Theory, and the general co-chair for the IEEE International Symposium on Information Theory in 2012. He is an IEEE fellow.
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Yin Zhang |
Yin Zhang graduated from the Chongqing Institute of Architecture and Engineering (now a part of Chongqing University) in 1977, studying Environmental Engineering. After graduation, he worked at the same institute and studied in a master program in computational mechanics. In 1982 he went to the United States and studied Applied Mathematics at the State University of New York at Stony Brook where he received his Ph.D. degree in 1987. From 1987 to 1990, he was a postdoctoral research associate and a lecturer at Rice University in Houston, Texas. From 1990 to 1996, he worked at the University of Maryland Baltimore County as an assistant and then associate professor in the Department of Mathematics and Statistics. From 1996 on, he has been working in the Department of Computational and Applied Mathematics at Rice University as an associate and then a full professor. In the summer of 2017, he joined the faculty of the School of Science and Engineering at the Chinese University of Hong Kong (Shenzhen) as a full professor. His main research field is numerical optimization with an emphasis on algorithm development and analysis. He has also worked extensively on applications of numerical optimization and linear algebra, including image and data processing, compressive sensing, and computational medicine. He has served in various editorial boards including SIAM Journal on Optimization, Mathematical Programming Computation, Journal of Computational Mathematics, and Journal of Optimization: Theory and Applications. His research has received numerous awards, including the INFORMS Computing Society 2001 Prize for Research Excellence in the Interface Between Operations Research and Computer Science, the Charles Broyden Prize for 2014 by the Journal of Optimization Methods and Software, and the Excellent Paper Award from the Journal of the Operations Research Society of China in 2016. In addition, his research has produced numerous software packages, including a package for solving large-scale linear programs that has been the official linear programming solver of the widely used Matlab system since 1997.
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Yao Xie |
Yao Xie is an Assistant Professor in the H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology. She received her Ph.D. in Electrical Engineering (minor in Mathematics) from Stanford University in 2011, M.Sc. in Electrical and Computer Engineering from the University of Florida in 2006, and B.Sc. in Electrical Engineering and Computer Science from University of Science and Technology of China (USTC) in 2004. Between 2012 and 2013, she was a Research Scientist at Duke University. Her research areas include computational statistics, signal processing, and machine learning, in providing theoretical insights, developing computationally efficient and statistically powerful algorithms for big-data analytics in various applications. She has worked on such problems in sensor networks, social networks, imaging, material science, geophysics, communications, and crime data analysis collaborating with the Atlanta Police Department (APD). She received the National Science Foundation (NSF) CAREER Award in 2017.
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Dongxiao Zhu |
Dongxiao Zhu is currently an Associate Professor at Department of Computer Science, Wayne State University. He received his Ph.D. from University of Michigan, Masters from Peking University and Bachelor from Shandong University. His current primary research interests are machine learning and data science with applications to learning from big data in health informatics, bioinformatics, natural language processing and multimedia. Dr. Zhu has published over 60 peer-reviewed publications and numerous book chapters and he served on several editorial boards of scientific journals. Dr. Zhu's research has been supported by NIH, NSF and private agencies and he has served on multiple NIH and NSF grant review panels. Dr. Zhu has advised numerous students at undergraduate, graduate and postdoctoral levels and his teaching interest lies in programming language, data structures and algorithms, machine learning and data science.
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Andy Sun |
Dr. Andy Sun is an assistant professor in the H. Milton Stewart School of Industrial & Systems Engineering at Georgia Institute of Technology. His main research interests lie in the intersection of the theory and algorithms of optimization under uncertainty and engineering and economics applications in electric energy systems. Dr. Sun has developed the first robust optimization models and algorithms for critical daily operational problems in electric power systems with significant renewable sources. This work has created an active field of research and has had notable impact on the power industry. Recently, Dr. Sun has worked on various computational and modeling aspects of non-convex quadratic optimization, efficient algorithms for multistage stochastic programming with integer recourses, and stability constrained optimization. Dr. Sun received B.E. in Electronic Engineering from Tsinghua University in Beijing, and PhD in Operations Research from MIT. He is an IEEE senior member.