Benoit Champagne
Professor
Associate Chair (Graduate Program)
Prof. Benoit Champagne
Electrical & Computer Engineering
McGill University
Benoit Champagne received the B.Ing. degree in Engineering Physics from the École Polytechnique de Montréal in 1983, the M.Sc. degree in Physics from the Université de Montréal in 1985, and the Ph.D. degree in Electrical Engineering from the University of Toronto in 1990. From 1990 to 1999, he was an Assistant and then Associate Professor at INRS-Telecommunications, Université du Quebec, Montréal. In1999, he joined McGill University, Montreal, where he is now a Full Professor in the Department of Electrical and Computer Engineering; he also served as Associate Chairman of Graduate Studies in the Department from 2004 to 2007. His research focuses on the study of advanced algorithms for the processing of communication signals by digital means. His interests span many areas of statistical signal processing, including detection and estimation, sensor array processing, adaptive filtering, and applications thereof to broadband communications and audio processing, where he has co-authored nearly 250 referred publications. His research has been funded by the Natural Sciences and Engineering Research Council (NSERC) of Canada, the “Fonds de Recherche sur la Nature et les Technologies” from the Govt. of Quebec, as well as some major industrial sponsors, including Nortel Networks, Bell Canada, InterDigital and Microsemi.
He has been an Associate Editor for the EURASIP J. on Applied Signal Processing from 2005 to 2007, the IEEE Signal Processing Letters from 2006 to 2008, and the IEEE Trans. on Signal Processing from 2010 to2012, as well as a Guest Editor for two special issues of the EURASIP J. on Applied Signal Processing published in 2007 and 2014, respectively. He has also served on the Technical Committees of several international conferences in the fields of communications and signal processing. In particular, he was Registration Chair, for IEEE ICASSP 2004, Co-Chair, Antenna and Propagation Track, for IEEE VTC–Fall 2004, Co-Chair, Wide Area Cellular Communications Track, for IEEE PIMRC 2011, Co-Chair, Workshop on D2D Communications, for IEEE ICC 2015 and Publicity Chair, for IEEE VTC–Fall 2016. His is currently a Senior Member of IEEE.
My expertise and research interests focus on the development and evaluation of new algorithms for digital processing of information bearing signals, including: speech/audio, data communications and radar/sonar signals. Known as Statistical Signal Processing, this field of study aims to devise, and analyze performance of computational procedures that can be used in various electronic or software systems to draw inference from imperfect or incomplete measurements. It makes intensive use of modern techniques from signal processing, applied probability and statistics, mathematical optimization, etc. In my work, special emphasis is given to the study of efficient processing structures and algorithms for filtering, parameter estimation/tracking and detection of signals corrupted by noise and interference (echo, multi-path fading, reverberation, etc.). One of the driving goals of this research is to optimize the statistical performance of the new algorithms, while reducing their computational complexity so that they are amenable to real-time implementation. Targeted application areas in electrical and computer engineering include multi-media communications, mobile wireless networks and broadband wireline communications.