Nicolas Dobigeon, Toulouse INP
Since 2008, Nicolas Dobigeon has been with Toulouse INP (INP-ENSEEIHT, University of Toulouse) where he is currently a Professor. He conducts his research within the Signal and Communications (SC) group of IRIT and is an associate member of the Apprentissage Optimisation Complexité (AOC) project-team of CIMI. He currently holds an AI Research Chair at the Artificial and Natural Intelligence Toulouse Institute (ANITI) and he is a Junior Member of the Institut Universitaire de France (IUF, 2017-2022). His recent research activities have been focused on statistical signal and image processing, with a particular interest in Bayesian inverse problems and applications to remote sensing, biomedical imaging and microscopy.
Mathieu Fauvel, INRAE
Mathieu Fauvel received the Ph.D. degrees in image and signal processing from the Grenoble Institute of Technology in 2007. From 2008 to 2010, he was a postdoctoral researcher with the MISTIS Team of the National Institute for Research in Computer Science and Control (INRIA). From 2011 to 2018, Dr. Fauvel was an Associate Professor with the National Polytechnic Institute of Toulouse within the DYNAFOR lab (INRA). Since 2018, he is a full research at the CESBIO-lab and with the National Research Institute for Agriculture, Food and Environment (INRAe). His research interests are remote sensing, machine learning, and landscape analysis.
Cédric Févotte, CNRS
Cédric Févotte is a CNRS senior researcher with Institut de Recherche en Informatique de Toulouse (IRIT). Previously, he has been a CNRS researcher at Laboratoire Lagrange (Nice, 2013-2016) & Télécom ParisTech (2007-2013), a research engineer at Mist-Technologies (the startup that became Audionamix, 2006-2007) and a postdoc at University of Cambridge (2003-2006). He holds MEng and PhD degrees in EECS from École Centrale de Nantes. His research interests concern statistical signal processing and machine learning, with particular interests in matrix factorisation, representation learning, source separation and recommender systems. He was a member of the IEEE Machine Learning for Signal Processing technical committee (2012-2018) and has been a member of the editorial board of the IEEE Transactions on Signal Processing since 2014, first as an associate editor and then as a senior area editor (since 2018). He was co-general chair of SPARS in 2019. In 2014, he was the co-recipient of an IEEE Signal Processing Society Best Paper Award for his work on audio source separation using multichannel nonnegative matrix factorisation. He is the principal investigator of the European Research Council (ERC) project FACTORY (New paradigms for latent factor estimation, 2016-2021, 2M€) and a member of ANITI (Artificial and Natural Intelligence Toulouse Institute).
Jordi Inglada, CNES
Jordi Inglada received the degree in telecommunications engineering from both the Universitat Politècnica de Catalunya, Barcelona, Spain, and the École Nationale Supérieure des Télécommunications de Bretagne, Brest, France, in 1997 and the Ph.D. degree in signal processing and telecommunications from the Université de Rennes 1, Rennes, France, in 2000. He is currently with the Centre National d’Études Spatiales (French Space Agency), Toulouse, France, working in the field of remote sensing image processing at the Centre d’Etudes Spatiales de la Biosphère (CESBIO) Laboratory. He is in charge of the development of image processing algorithms for the operational exploitation of Earth observation images, mainly in the field of multitemporal image analysis for land use and cover change.
Thomas Oberlin, ISAE-SUPAERO
Thomas Oberlin was born in Lyon, France, in 1988. He received the M.S. degree in applied mathematics from the Université Joseph Fourier, Grenoble, France, in 2010, as well as an engineer’s degree from the Grenoble Institute of Technology, Grenoble, France. He received the Ph.D. degree in applied mathematics from the University of Grenoble in 2013, and was he was a Postdoctoral fellow in signal processing and medical imaging with Inria Rennes, France, in 2014. From 2014 to 2019, he was an Assistant Professor with the INP Toulouse-ENSEEIHT and the IRIT Laboratory, University of Toulouse, France. He is currently an Associate Professor in image processing and machine learning at ISAE-SUPAERO, University of Toulouse. His research interests include signal and image processing (hyperspectral imaging, medical imaging, inverse problems), machine learning (representation learning, latent factor models) and applied harmonic analysis (time-frequency analysis, synchrosqueezing transform). His research objectives within ANITI are to develop new machine learning models, and in particular deep neural networks, adapted to non-conventional data such as radar. A second objective is to exploit the advances in deep representation learning for various imaging inverse problems.
Valentine Bellet, Ph.D. student:
- Ph.D. thesis: AI for ecosystem monitoring using remote sensing and digital agriculture data
- Supervisors: Mathieu Fauvel and Jordi Inglada
- Funding: CNES and CS
- email: valentine.bellet@univ-toulouse.fr
Colin Decourt, Ph.D. student:
- Ph.D. thesis: Multiple target extraction identification and tracking for automotive radar with AI
- Supervisors: Thomas Oberlin and Ruffin VanRullen
- Funding: NXP
- email: colin.decourt@univ-toulouse.fr
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