Graphical Models and Inference: Breakthroughs and Insight from Spatial Coupling

Presenter: Henry Pfister, School of Engineering, Texas A&M University

This talk focuses on recent theoretical and practical advances in coding, compressed-sensing, and constraint-satisfaction problems based on spatially-coupled graphical models. The goal is to introduce key ideas and insights using concrete examples from our research in this area. In particular, a brief introduction to spatially-coupled graphical models will be followed by examples that demonstrate their universality for single and multiuser communication, their application to compressed sensing, and their effectiveness for Wyner-Ziv and Gelfand-Pinsker problems. The talk concludes with a discussion of future research directions. This talk is based on joint work with Yung-Yih Jian, Santhosh Kumar, Krishna R. Narayanan, Phong S. Nguyen, and Arvind Yedla. Henry D. Pfister received his Ph.D. in electrical engineering from UCSD in 2003 and he joined the faculty of the School of Engineering at Texas A&M University in 2006. Prior to that he spent two years in R&D at Qualcomm, Inc. and one year as a post-doc at EPFL. He received the NSF Career Award in 2008, the Texas A&M ECE Department Outstanding Professor Award in 2010, and was a coauthor of the 2007 IEEE COMSOC best paper in Signal Processing and Coding for Data Storage. He is also an associate editor in coding theory for the IEEE Transactions on Information Theory.

Date: Monday, Mar 17, 2014
Time: 11:30 am - 12:30 pm
Where: Gross Hall 330
Contact: Currin, Ellen
Phone: 660-5252
Email: ecurrin@ee.duke.edu