Abstract: Information theory seeks ultimate performance limits in handling information. To this end, it needs “converse” results, namely, proofs that performance beyond a certain limit is not possible. Such results are often obtained using ideas and techniques that are very different from those used for “direct”, achievability results. This talk discusses several converse results in Information Theory which are used both in deriving capacity formulas and in evaluating such formulas for actual channel models.

Bio: Ligong Wang obtained his B.E. degree from Tsinghua University, Beijing, China, in 2004, and his M.Sc. and Dr.Sc. degrees from ETH Zurich, Switzerland, in 2006 and 2011, respectively. From 2011 to 2014 he worked as a postdoctoral associate at MIT. He joined ETIS as a CNRS researcher in 2014. His research interests include classical and quantum information theory, optical communication, secrecy, and error-correcting codes.

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