Biosketch
Nicolas Dobigeon received the Eng. degree in Electrical Engineering from INP-ENSEEIHT, Toulouse, France, and the M.Sc. degree in Signal Processing from the Institut National Polytechnique de Toulouse (Toulouse INP), both in June 2004. He received the Ph.D. degree and Habilitation à Diriger les Recherches in Signal Processing from Toulouse INP in 2007 and 2012, respectively.
From 2007 to 2008, he was a Postdoctoral Research Associate with the Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor.
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.
He is currently a member of the SPTM TC of the IEEE Signal Processing Society (since 2018),
an Associate Editor for
IEEE Trans. Signal Processing (since 2020) and the Deputy Head of the Dept. of Signals and Images at IRIT (since 2017).
He was a steering committee member of the French research group GDR-ISIS (2013-2018), an Associate Editor for Signal Processing (2016-2020) and Digital Signal Processing (2018-2020),
a member of French National Council of Universities (CNU/Section 61, 2012-2016) and an elected member at the Research Council of Toulouse INP (2014-2016). He was the Head of the Major Program on "Signal and Image Processing" at INP-ENSEEIHT (2011-2019).
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