If some of your production has benefited from the thematic trimester on image processing, please acknowledge it with the sentence:
"This work was performed during the Thematic Trimester on image processing of the CIMI Excellence Laboratory which was held in Toulouse, France, during the period May-June-July 2013.”
CIMI Excellence Research Chair
Professor, University of Michigan, Ann Arbor, Unites States
Alfred O. Hero III received the B.S. (summa cum laude) from Boston University (1980) and the Ph.D from Princeton University (1984), both in Electrical Engineering. Since 1984 he has been with the University of Michigan, Ann Arbor, where he is the R. Jamison and Betty Williams Professor of Engineering. His primary appointment is in the Department of Electrical Engineering and Computer Science and he also has appointments, by courtesy, in the Department of Biomedical Engineering and the Department of Statistics. In 2008 he was awarded the Digiteo Chaire d'Excellence, sponsored by Digiteo Research Park in Paris, located at the Ecole Superieure d'Electricite, Gif-sur-Yvette, France. He is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) and several of his research articles have received best paper awards. Alfred Hero was awarded the University of Michigan Distinguished Faculty Achievement Award (2011). He received the IEEE Signal Processing Society Meritorious Service Award (1998) and the IEEE Third Millenium Medal (2000). Alfred Hero was President of the IEEE Signal Processing Society (2006-2008) and was on the Board of Directors of the IEEE (2009-2011) where he served as Director of Division IX (Signals and Applications).
Alfred Hero's recent research interests are in statistical signal processing, machine learning and the analysis of high dimensional spatio-temporal data. Of particular interest are applications to networks, including social networks, multi-modal sensing and tracking, database indexing and retrieval, imaging, and genomic signal processing.
CIMI co-organizer
Research Scientist, CEA/NeuroSpin, Gif-sur-Yvette, France
Philippe Ciuciu received the engineering degree from ESIEA Paris, France,and DEA degree in automatic control and signal processing from the Université Paris-Sud (XI), Orsay, France, both in 1996. In 2000, he then received the PhD and degree from Université Paris-Sud in 2000 for a work done at Groupe Problèmes Inverses (L2S, UMR 8506) in radar Doppler imaging. He then became a post-doctoral fellow (2000-2001) in the fMRI signal processing group headed by JB Poline at Service Hospitalier Frédéric Joliot (CEA, Life Science Division, Orsay, France) before being appointed on a permanent research scientist position by the same institute in November 2001. Since 2007, Dr Ciuciu has been with the brand new NeuroSpin centre dedicated to ultra-high field MRI and applications in cognitive and clinical neurosciences. In 2008, he received the "Habilitation à Diriger des Recherches" degree from the Université Paris-Sud, Orsay France. In the same year, he has been elegated to the Principal Investigator position for driving the neurodynamics resarch program in collaboration with Andreas Kleinschmidt (DR1 INSERM, Cognitive Neuroimaging Unit U992). Dr Ciuciu published 22 refereed journal papers, 2 book chapters, more than 50 conference papers and 1 MRI-related pending patent. In 2008, he has been invited as a guest editor to the IEEE Journal of Selected Topics in Signal Processing for a special issue on Brain Mapping. Dr Ciuciu has also organized several workshops and special sessions in international conferences (IEEE ICASSP'06, MICCAI'09, ISBI'11). In 2003, he was the recipient of the young researcher best paper award at the IPMI conference (with G. Marrelec). In 2009, he received the best paper award at the IEEE Machine Learning for Signal Processing workshop and successfully applied to the Young researcher ANR call with his SCHUBERT project on SCaling analysis of the HUman Brain Evoked and Rest acTivity.
Dr Ciuciu has served as regular reviewer for twelve international top-ranked journals including six IEEE Transactions, MedIA, Neuroimage, Human Brain Mapping, Journal of Magnetic Resonance Imaging, NMR Biomed, Pattern Recognition and for funding agencies (ANR "Programme Blanc", BBSRC (British), Technology Foundation STW (Dutch)).He will visit University of Toulouse in June and July 2014, 2015, 2016.
Since 2007, he has elaborated the PyHRF software, which has received a very good reception at the Human Brain Mapping (HBM'10) and European Scientific Python (EuroScipy'11) conferences. Since 2008, Dr Ciuciu has been in charge of the scientific supervision of fMRI-based clinical trials for neurodegenerative deseases in several agreements linking CEA to pharmaceutical companies (Servier, Sanofi).
MRF, sampling-based approaches, Variational EM, compressive sensing & sparse recovery, applications: MRI, fMRI, MEG
CIMI co-organizer
Professor, University of Caen, France
Jalal M. Fadili graduated from the Ecole Nationale Supérieure d'Ingénieurs de Caen (ENSICaen), France, and received the M.Sc. and Ph.D. degrees in signal and image processing from the University of Caen. He was a Research Associate with the University of Cambridge (MacDonnel-Pew Fellow), Cambridge, U.K., from 1999 to 2000. He was an Associate Professor of signal and image processing from September 2001 to 2011 and is a Full Professor since October 2011. He was a visitor at several universities (QUT-Australia, Stanford University, CalTech, EPFL). In the last decade, he has been an invited or plenary speaker at several international events. He is also part of the scientific or programme committees of several international and national conferences, and organized many international or national events. He also holds several scientific management positions (editorial activities, scienfic committee of GDR ISIS, director of GDR MIA, group scientific leader, etc.), and serves as an expert of several national and international funding agencies. He is the co-author of one of the first books on the highly growing field of sparsity in 2010 (Cambridge University Press). His research interests include mathematical signal and image processing, statistical estimation and detection theory, inverse problems, computational harmonic analysis, sparse representations, non-smooth optimization. His areas of application include medical and astronomical imaging.
His research interests include statistical approaches in signal and image processing, inverse problems, computational harmonic analysis, optimization and sparse representations. His areas of application include medical and astronomical imaging.
stochastic modeling and estimation - sparse representations - non-smooth optimization
CIMI scientific expert
Associate Professor, Lund University, Lund, Sweden
Fredrik Andersson graduated from Lund University, Sweden, where he received M.Sc. and Ph.D. degrees in Engineering Phyics and Mathematics, respectively. He is currently working as Associate Professor of Mathematics at Lund University. He has made several extended research visits to international universites, including Purdue University, University of Colorado at Boulder, Ohio State University, University of Minnesota, University of California at Los Angeles, University of California at Berkeley, University of Washington, Universidad de Santiago de Chile and Novosibirsk State University.
His research interests include fast algorithms, inverse problems and approximation theory.
fast transforms for unequally sampled data - fast sparse representations - wavelets and time-frequency distributions - inverse problems - seismic imaging - approximation theory
CIMI scientific expert
Professor, Instituto Superior Técnico, Lisboa, Portugal
Jose M. Bioucas-Dias (S'87, M'95) received the EE, MSc, PhD, and ``Agregado" degrees in electrical and computer engineering from Instituto Superior Técnico (IST), the engineering school of the Technical University of Lisbon (TULisbon), Portugal, in 1985, 1991, 1995, and 2007, respectively. Since 1995, he has been with the Department of Electrical and Computer Engineering, IST, where he was an Assistant Professor from 1995 to 2007 and is Associate Professor since 2007.
Since 1993, he is also a Senior Researcher with the Pattern and Image Analysis group of the Instituto de Telecomunicações, which is a private non-profit research institution. His research interests include inverse problems, signal and image processing, pattern recognition, optimization, and remote sensing. He was and is involved in several national and international research projects and networks.
Dr. Bioucas-Dias was an Associate Editor for the IEEE Transactions on Circuits and Systems (1997-2000) and, since 2010, he is an Associate Editor for the IEEE Transactions on Image Processing. He is a guest editor of IEEE Signal Processing Magazine for the Special Issue on Signal and Image Processing in Hyperspectral Remote Sensing and was a Guest Editor of IEEE Transactions on Geoscience and Remote Sensing for the Special Issue on Spectral Unmixing of Remotely Sensed Data and of IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing for the Special Issue on Hyperspectral Image and Signal Processing. He was General Co-Chair of the 3rd IEEE GRSS Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote sensing (WHISPERS'2011) and has been a member of program/technical committees of several international conferences.
inverse problems, non-smooth optimization, image reconstruction, image segmentation, phase imaging, sparse recovery, applications: hyperspectral imaging, SAR, EEG
CIMI scientific expert
Assistant Professor, Hebrew University of Jerusalem, Israel
Ami Wiesel received the B.Sc. and M.Sc. degrees in electrical engineering from Tel-Aviv University, Tel-Aviv, Israel, in 2000 and 2002, respectively, and the Ph.D. degree in electrical engineering from the Technion-Israel Institute of Technology, Haifa, in 2007. He was a Postdoctoral Fellow with the Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, from 2007 to 2009. Since January 2010, he has been a Faculty Member at the Rachel and Selim Benin School of Computer Science and Engineering at the Hebrew University of Jerusalem, Israel.
Dr.Wiesel was a recipient of the Young Author Best Paper Award for a 2006 paper in the IEEE Trans. Signal Process. and a Student Paper Award for a 2005 Workshop on Signal Processing Advances in Wireless Communications (SPAWC) paper. He was awarded the Weinstein Study Prize in 2002, the Intel Award in 2005, the Viterbi Fellowship in 2005 and 2007, and the Marie Curie Fellowship in 2008.
large scale statistical methods - state of the art convex optimization - optimization on manifolds - probabilistic graphical models - modern Bayesian inference
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