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

Honorary Member @ IUF (Junior Class 2017)
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 an Honorary Member of the Institut Universitaire de France (IUF, Junior Class 2017).

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, astronomy and astrophysics, 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
Google map / Access map
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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