Organizers

Richard D. Wesel received Bachelor of Science and Master of Science degrees in Electrical Engineering from the Massachusetts Institute of Technology in 1989. He received the Ph.D degree in Electrical Engineering from Stanford in 1996. He is a Professor with the UCLA Electrical and Computer Engineering Department and is the Associate Dean for Academic and Student Affairs for the UCLA Henry Samueli School of Engineering and Applied Science. His research is in the area of communication theory with particular interest in low-density parity-check coding, short-blocklength communication, communication with feedback, and coding for storage. He has received the National Science Foundation (NSF) CAREER Award, an Okawa Foundation award for research in information theory and telecommunications, and the Excellence in Teaching Award from the Samueli School of Engineering. Wesel has served as Associate Editor for Coding and Coded Modulation for the IEEE Transactions on Communications and is currently an Associate Editor for Coding Techniques for the IEEE Transactions on Information Theory. He is a Fellow of the IEEE.

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Dr. Javidi is a Jacobs Family Scholar and Professor of electrical and computer engineering at University of California, San Diego. She received her MS and PhD degrees in Electrical Engineering and Computer Science as well as her MS in Applied Mathematics from the University of Michigan, Ann Arbor. Before joining UCSD, she was on the faculty of Electrical Engineering Department at the University of Washington, Seattle. Her area of research is at the intersection of stochastic control, information theory, and data science with notable contributions to the theory of information acquisition and active learning. At the University of California, San Diego, Tara is a founding co-director of the Center for Machine-Intelligence, Computing and Security. Tara Javidi is a Fellow of IEEE.

Yu Xiang is an Assistant Professor in Electrical and Computer Engineering at the University of Utah since July 2018. Prior to this, he was a postdoctoral fellow in the School of Engineering and Applied Sciences at Harvard University. He received his M.S. and Ph.D. degrees in Electrical and Computer Engineering from the UC San Diego, in 2010 and 2015, respectively, and his B.E. with the highest distinction from the School of Telecommunications Engineering at Xidian University, China, in 2008. His research interests lie at the intersection of statistical signal processing, information theory, and machine learning, with their applications to neuroscience and computational biology.

Gerhard Kramer is Senior Vice President for Research and Innovation at the Technical University of Munich (TUM). He received the B.Sc. and M.Sc. degrees in electrical engineering from the University of Manitoba in 1991 and 1992, respectively, and the Dr. sc. techn. degree from ETH Zurich in 1998. From 1998 to 2000, he was with Endora Tech AG in Basel, Switzerland, from 2000 to 2008 he was with the Math Center at Bell Labs in Murray Hill, NJ, and from 2009-2010 he was with the University of Southern California (USC), Los Angeles, CA. He joined TUM as Chair of Communications Engineering in 2010. Gerhard is an IEEE Fellow and served as the 2013 President of the IEEE Information Theory Society.

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