Nicolas Dobigeon @ Univ. of Toulouse
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Nicolas Dobigeon

Professor @ Toulouse INP
University of Toulouse, IRIT/INP-ENSEEIHT

AI Research Chair @ ANITI
Artificial and Natural Intelligence Toulouse Institute

Junior Member @ IUF (2017-2021)
Institut Universitaire de France



 

Open positions

Informations for M.Sc., Ph.D. and post-doc applicants

If you are interest in joining our group, please read these guidelines carefully before applying.

Current openings

  • (M.Sc.) Data fusion methods for astrophysics
  • (M.Sc.) Smart and sustainable management of karst aquifers
  • (M.Sc.) Bayesian inference and optimal transport for change detection between heterogeneous images
  • (Ph.D.) Bayesian inversion with deep learning-driven priors - Application to spectral imaging problems
  • (Ph.D.) Sparse unmixing for active molecular imaging

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 Senior Area Editor for IEEE Trans. Signal Processing (since 2022), the Deputy Head of the Dept. of Signals and Images at IRIT (since 2017) and a member of the scientific working group dedicated to "Data science and digital society" for the Fed. Univ. Toulouse Midi-Pyrénées (since 2020). He is the Head of the Major Program " Artificial Intelligence for Information Processing" at INP-ENSEEIHT (since 2022).

He was an Associate Editor for IEEE Trans. Signal Processing (2020-2022), Signal Processing (2016-2020) and Digital Signal Processing (2018-2020), a member of the SPTM TC of the IEEE Signal Processing Society (2018-2020), a steering committee member of the French research group GDR-ISIS (2013-2018), 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).

He is an IEEE Senior Member and a Member of the European Laboratory for Learning and Intelligent Systems (ELLIS).

CV (Web)» CV (PDF)»

News

  • Sep. 2022 Plenary speaker at Workshop on Low-Rank Models and Applications (Mons, Belgium)
  • Jun. 2022 Afterwork ANITI #8 : Apprendre avec peu de données ou à partir de données complexes
  • Jun. 2022 Accepted paper on sliced Wasserstein normalizing flows @ ESANN
  • Jun. 2022 Accepted paper on informed regularizations for multiband image fusion @ IEEE ICIP
  • Jun. 2022 Accepted paper on learning optimal transport with normalizing flows @ ECML-PKDD
  • Jun. 2022 Accepted paper on weighted residual NMF for hyperspectral unmixing @ IEEE GRSL
  • Jun. 2022 Plenary speaker at Chimiométrie (Brest, France)
  • Jun. 2022 Accepted paper on normalizing flows for approximating optimal transport @ GRETSI
  • May 2022 Accepted paper on Bayesian voxel-based lesion-symptom mapping @ EUSIPCO
  • Apr. 2022 New preprint on multiscale sparse regularization for hyperspectral unmixing
  • Apr. 2022 After a 2-y. term as an Associate Editor, appointed Senior Area Editor of IEEE Trans. Signal Processing
  • Mar. 2022 Interview for CNRS INS2I, "Comment fusionner les images des télescopes spatiaux"
  • Mar. 2022 Invited speaker at SIAM Conf. on Imaging Science (online)
  • Feb. 2022 New preprint on generative adversarial network for change detection
  • Jan. 2022 Kick-off meeting of the ANR IMAGIN Project (online)
  • Dec. 2021 Accepted paper on hyperspectral unmixing with spectral variability using CNN @ IEEE TGRS
  • Nov. 2021 Interview for Exploreur, "L'IA, une simple affaire de données ?"
  • Nov. 2021 Séminaire interdisciplinaire UFTMIP "Numérique et Société" (Toulouse, France)
  • Sep. 2021 Plenary speaker at ORASIS (Saint-Ferréol, France)
  • Aug. 2021 Accepted paper on high dimensional Gaussian sampling @ SIAM Review
  • Aug. 2021 Accepted paper on blind source separation of linear-quadratic near-separable mixtures @ SIAM SIIMS
  • Jun. 2021 Invited speaker at Future Intelligence (online)

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Miscellaneous

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Contact

INP - ENSEEIHT Toulouse
2, rue Charles Camichel
B.P. 7122
31071 Toulouse Cedex 7
FRANCE
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Office : F420 - 4th floor
Tel. : (+33) 05 34 32 22 40
Fax : (+33) 05 34 32 21 57
E-mail : dobigeon [at] n7 [dot] fr
www : www.enseeiht.fr/~dobigeon/
Follow @NicolasDobigeon

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