Advanced Data Mining Winter School, Monday 20th, Feb 2017 

 Lecturers biosketches

(back to Winter School program)

 

Nicholas D. Sidiropoulos  received the Diploma in electrical engineering from the Aris- totelian University of Thessaloniki, Greece, and the M.S. and Ph.D. degrees in electrical engineering from the University of Maryland, College Park, USA, in 1988, 1990, and 1992, respectively.  He served as Assistant Professor at the Univer- sity of Virginia (1997–1999); Associate Professor at the University of Minnesota, Minneapolis, USA(2000–2002); Professor at the Technical Uni- versity of Crete, Greece (2002–2011); and Professor at the University of Minnesota, Minneapolis (2011 to present). His current research focuses primarily on signal and tensor analytics, with applications in cognitive radio, big data, and preference measurement. Dr. Sidiropoulos received the NSF/CAREER award (1998), the IEEE Signal Processing Society (SPS) Best Paper Award (2001, 2007, 2011), and the IEEE SPS Meritorious Service Award (2010). He has served as IEEE SPS Distin- guished Lecturer (2008–2009), and Chair of the IEEE Signal Processing for Communications and Networking Technical Committee (2007–2008). He re- ceived the Distinguished Alumni Award of the Department of Electrical and Computer Engineering, University of Maryland, College Park, in 2013, and was elected EURASIP Fellow in 2014. 

Jean-Francois Cardoso (born 1958) is Directeur de Recherche with the French CNRS (Centre National de la Recherche Scientifique) at the Institut d'Astrophysique de Paris.  Since 1989, he has been extensively working on all aspects of blind source separation and independent component analysis.  In 2001, he joined the Planck collaboration, a cosmological mission of the European Spatial Agency, for the analyis of Planck data.  He developped in particular the blind component separation method which extracted a full-sky high-resolution map of the Cosmic Microwave Background out of the 9 Planck frequency channels.  In 2014, he was awarded the CNRS silver medal. 

Pierre Comon graduated in 1982, and received the Doctorate degree in 1985, both from the University of Grenoble, France. He later received the Habilitation to Lead Researches in 1995, from the University of Nice, France. He has been for nearly 13 years in industry, first with Crouzet-Sextant, Valence, France, between 1982 and 1985, and then with Thomson Marconi, Sophia Antipolis, France, between 1988 and 1997. He spent 1987 with the ISL laboratory, Stanford University, CA. He joined in 1997 the Eurecom Institute, Sophia Antipolis, France. He is research director with CNRS since 1998, first at laboratory I3S, Sophia Antipolis, France, until 2012, and then at Gipsa- Lab, Grenoble, France. His research interests include High-Order Statistics (HOS), Blind techniques, Statistical Signal and Array Processing, Tensor decompositions, Multi-Way Factor Analysis, Data Mining and its applications to biomedical end environment.  Dr. Comon was Associate Editor of the IEEE Transactions on Signal Processing from 1995 to 1998, and a member of the French National Committee of Scientific Research from 1995 to 2000. He was the coordinator of the European Basic Research Working Group on HOS, ATHOS, from 1992 to 1995. Between 1992 and 1998, he was a member of the Technical and Scientific Council of the Thomson Group. Between 2001 and 2004 he acted as launching Associate Editor with the IEEE Transactions on Circuits and Systems I, in the area of Blind Techniques. He has also been a member of the editorial board of the Elsevier journal Signal Processing from 2006 to 2011, and member of several IEEE TC. He is presently in the editorial board of SIAM Journal on Matrix Analysis and Applications. 

Christian Jutten received the Ph.D. and Doctor ès Sciences degrees in signal processing from the Grenoble Institute of Technology (GIT), France, in 1981 and 1987, respec- tively. In 1982, he became an Associate Professor at the GIT, and since 1989 he is a Full Professor at the Joseph Fourier University in Grenoble. For more than 30 years, his research interests have been machine learning and source separation, including theory (separability, source separation in nonlinear mixtures, sparsity, multimodality) and applications (brain and hyperspectral imaging, chemical sensor arrays, speech). He is author and co-author of more than 90 papers in international journals, 4 books, 25 keynote plenary talks, and about 200 publications in international conferences. He has been a visiting professor at the Swiss Federal Polytechnic Institute (Lausanne, Switzerland, 1989), at Riken labs (Japan, 1996) and at Campinas University (Brazil, 2010). He has served as director and deputy director of his lab from 1993 to 2010, including head of the signal processing department (120 people) and deputy director of GIPSA-lab (300 people) in 2007–2010. He served as a scientific advisor for signal and images processing at the French Ministry of Research (1996–1998) and for the French National Research Center (CNRS) (2003–2006). From May 2012 to September 2014, he was deputy di- rector at the Institute for Information Sciences (INS2I) at the CNRS, in charge of signal and image processing. Christian Jutten was organizer or program chair of many international con- ferences, including the first International Conference on Blind Signal Separa- tion and Independent Component Analysis in 1999. He has been a member of a number of IEEE Technical Committees, and is currently a member of the “Signal Processing Theory and Methods” Technical Committee of the IEEE Signal Processing society. He is the recipient of EURASIP (1992) and IEEE GRSS (2012) best paper awards, and Blondel Medal (1997) from the French Electrical Engineering Society for his contributions in source separation and in- dependent component analysis. He is a EURASIP fellow (2013). He is a Senior Member of the Institut Universitaire de France since 2008, a position renewed in 2013 for another five years. He is the recipient of a 2012 ERC Advanced Grant for a project on challenges in extraction and separation of sources (CHESS). 

Winter School : Advanced Data Mining Progresses

Find here the Lecturers Biosketches.

 

access to winter school is granted to all LVA ICA registered participants

 Monday   Feb 20th, 2017
8:00 - 9:00

Registration / Coffee

9:00 - 9:10

Opening

9:10 - 10:40

Plenary tutorial

Tensor decomposition : fondamentals and modern applications in machine learning (part I) 

Nikos SIDIROPOULOS, Univ. of Minnesota, USA

10:40 - 11:15

Coffee break

11:15 - 12:15

Plenary tutorial

Component separation in the cosmos : precision ICA for exquisite data from out of space (part I)

Jean François Cardoso , CNRS, Paris, France

12:15 - 14:00

Lunch

14:00 - 15:30

Plenary tutorial

Tensor decomposition : fondamentals and modern applications in machine learning (part II) 

Nikos SIDIROPOULOS, Univ. of Minnesota, USA

15:30 - 16:00

Coffee break

16:00 - 17:00

Plenary tutorial

Component separation in the cosmos : precision ICA for exquisite data from out of space (part II)

Jean François Cardoso , CNRS, Paris, France

17:00 - 17:20

Pause

17:20 - 18:30

Plenary tutorial

Selected flavors on Challenges in Extraction and Separation of Sources (CHESS)

Christian Jutten, Univ. Grenoble Alpes, France



Selected Topics on Tensor Decompositions for Data Analysis  (DECODA)

Pierre Comon, CNRS, France

   Organized jointly with LabEx Persyval

 

overview

Springer Proceedings

Springer Proceedings are available for download here [Free access during 4 weeks]