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Thomas Oberlin

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I am a Professor of Image Processing and Machine Learning.

With Nicolas Dobigeon and Olivier Berné, we are looking for a PhD candidate in image processing and machine learning. The aim is to perform the fusion of multispectral and hyperspectral images acquired by the James-Webb Space Telescope. The PhD will improve the current fusion algorithm (and in particular the spatial regularization), and apply the method to real data acquired by the instruments NIRCam and NIRSpec. The detailed subject and guidelines to apply are here, feel free to contact me for any questions.

Main responsabilities

Research interests

  • Representation learning, regularization with deep neural networks
  • Multivariate image processing (aka hyperspectral / spectral imaging)
  • Latent factor models : unmixing, NMF, deep generative models
  • Time-frequency representations


  • Introduction to image processing (ISAE-SUPAERO, SiSy)
  • Machine learning for image processing (ISAE-SUPAERO, SiSy)
  • Big data and machine learning (ISAE-SUPAERO, OTSU)
  • Image and computer vision for data scientists (ISAE-SUPAERO, SDD)
  • Real analysis for engineers : integration and harmonic analysis (ENSEEIHT 1A and ISAE-SUPAERO 1A)
  • Introduction to data science and image analysis (ISAE-SUPAERO, FISA)


  • 2021 : HDR from Toulouse INP (HDR is a French degree required to lead research and become a full Professor)
  • 2019-2021 : Associate Professor, ISAE-SUPAERO
  • 2014-2019 : Assistant Professor, ENSEEIHT, Toulouse INP
  • 2014 : Post-doctoral researcher, INRIA
  • 2013 : PhD in applied mathematics and signal processing, Univ. Grenoble Alpes
  • 2010 : MSc in applied mathematics, Univ. Grenoble Alpes. Engineer’s degree ENSIMAG, Grenoble INP


  • email : firstname.lastname at isae-supaero.fr
  • tel : +33 5 61 33 89 37
  • to find me :
    Institut Supérieur de l’Aéronautique et de l’Espace
    Département DISC, Office 07.0105
    10 avenue Édouard Belin - B.P. 54 032
    31 055 Toulouse Cedex 4

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