Date/Time
Date(s) - 15/02/2013
12.00 - 13.00
Location
Sala Segimon Serrallonga
Category(ies)
Title: “Source separation: Principles, applications and current challenges”
Dr. Christian Jutten: Université Joseph Fourier, Grenoble et Institut Universitaire de France
Date: 15 February 2013, from 12h to 13h
Place: Sala Segimon Serrallonga, UVic
Abstract: Professor Christian Jutten received the PhD degree in 1981 and the Docteur ès Sciences degree in 1987 from the Institut National Polytechnique of Grenoble (France). He taught as associate professor in the Electrical Engineering Department from 1982 to 1989, before to become full professor in University Joseph Fourier of Grenoble in the Polytech’Grenoble. He was visiting professor in Swiss Federal Polytechnic Institute in Lausanne in 1989 and in Campinas University (Brazil) in 2010. He has been associate director of the Grenoble images, speech, signal and control laboratory (GIPSA, 300 people) and head of the Department Images-Signal (DIS) of this laboratory, from 2007 to 2010. For 30 years, his research interests are blind source separation, independent component analysis and learning in neural networks, including theoretical aspects (separability, source separation in nonlinear mixtures, sparsity) and applications in signal processing (biomedical, seismic, hyperspectral imaging, speech). He is author or co-author of more than 65 papers in international journals, 4 books, 19 invited plenary talks and 150 communications in international conferences. He has been associate editor of IEEE Trans. on Circuits and Systems (1994-95), and co-organizer the 1st International Conference on Blind Signal Separation and Independent Component Analysis (Aussois, France, January 1999). He has been a scientific advisor for signal and images processing at the French Ministry of Research from 1996 to 1998 and for the French National Research Center (CNRS) from 2003 to 2006. He is a member of the technical committee “Blind signal Processing” of the IEEE CAS society and of the technical committee “Machine Learning for signal Processing” of the IEEE SP society. He is a reviewer of main international journals (IEEE Trans. on Signal Processing, IEEE Signal Processing Letters, IEEE Trans. on Neural Networks, Signal Processing, Neural Computation, Neurocomputing, etc.) and conferences in signal processing and neural networks (ICASSP, ISCASS, EUSIPCO, IJCNN, ICA, ESANN, IWANN, etc.). He received the EURASIP best paper award in 1992 and Medal Blondel in 1997 from SEE (French Electrical Engineering society) for his contributions in source separation and independent component analysis, and has been elevated as a Fellow IEEE and a senior Member of Institut Universitaire de France in 2008.
In this talk he will explain that Source separation is a generic problem in multidimensional signal processing, where sensors provide unknown mixtures of useful signals and noises, unknown too. After that he will recover useful signals in a scope of applications, from biomedical engineering to chemical engineering. The talk will finish with a discussion on a few open questions.
