Biography :

JianweiHuang is an Assistant Professor in the Department of Information Engineering at the Chinese University of Hong Kong. He received Ph.D. in Electrical and Computer Engineering from Northwestern University (Evanston, IL,USA) in 2005. He worked as a Postdoc Research Associate in the Department of Electrical Engineering at Princeton University during 2005-2007, and as a summer intern in Motorola (Arlington Heights, IL,USA) in 2004 and 2005.
Dr. Huang conducts research in the area of nonlinear optimization and game theoretical analysis of communication networks, with current focus on network economics, cognitive radio networks, broadband communication networks, and multimedia over wireless. He is a recipient of the 2009 IEEE Communication Society Asia-Pacific Outstanding Young Researcher Award.
   Dr. Huang is an Associate Editor of (Elsevier) Journal of Computer & Electrical Engineering, the Lead Guest Editor of the special issue of IEEE Journal of Selected Areas in Communications on "Game Theory in Communication Systems", the Lead Guest Editor of the special issue of Journal of Communications on "Cognitive-Radio Enabled Communications and Networking", the Lead Guest Editor of the special issue of Journal of Advances in Multimedia on "Collaboration and Optimization in
Multimedia Communications", a Guest Editor of the special issue of Journal of Advances in Multimedia on "Cross-layer Optimized Wireless Multimedia Communications". He serves as the TPC co-chair of the International Conference on Game Theory for Networks 2009, the TPC co-chair of IEEE Globecom Wireless Communications Symposium 2009, and TPC Co-chair of International Wireless Communications and Mobile Computing Conference Mobile Computing Symposium, 2010.

Abstract:

The widely used random MAC protocols, although quite successful in practice, are mostly designed based on engineering heuristics instead of rigorous mathematical framework. This talk consists two studies that aim at discovering the mathematical foundation behind random MAC protocols and design better algorithms. The first part involves reverse engineering of random MAC. Starting from a given back-off based MAC protocol, reverse-engineering discovers the underlying mathematical problems implicitly being solved by the network dynamics of that protocol. It leads to new insights on why such existing protocol "works" and when it will not, thus indirectly leads to systematic forward-engineering. We will show that the average behavior of the random MAC can be reversed engineered as a non-cooperative game. Such result complements the existing success on reverse-engineering of layer 4 (TCP) and layer 3 (BGP) protocols. The second part involves forward engineering a better random MAC, that is more efficient, converges faster, and is more robust to the network dynamics.
As part of the talk, we will also introduce the communication and networking research at Chinese University of Hong Kong and the newly setup Hong Kong PhD Fellowship Scheme.