Research group

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Current members

Ph.D. Students

• Tanguy DELMOND (2024-..., Univ. of Toulouse, co-advisors: Th. Oberlin, A. Basset and N. Tamanini)
     Algorithmic breakthroughs for the acceleration of LISA's data processing
• Sasha TRONCY-PORTIER (2024-..., Univ. of Toulouse, co-advisors: M. Fauvel and J. Michel)
     Marginal representation of streamed multi-source remote sensing data using Gaussian process prior variational auto-encoder
• Landry MARQUIS (2023-..., Univ. of Toulouse, co-advisors: O. Berné and Th. Oberlin)
     Fusion of astronomical images - Application to the JWST data
• Hugues KOUAKOU (2023-..., Toulouse INP, co-advisors: H. Goulart; and C. Ruckebusch)
     Sparse unmixing for active molecular imaging
• El-hadji CISSÉ FAYE (2022-..., Univ. of Orléans, co-advisors: M. D. Fall and A. Chetouani)
     Bayesian inversion with deep learning-driven priors - Application to spectral imaging problems

Visiting students

• Jianyu WANG (2023-2024, Ph.D., Northwestern Polytechnical University)

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Past members

Post-doctoral Research Fellows

• Tatsumi UEZATO (2017-218, funded by IDEX & ANR MapInvPlnt, co-advisor: M. Fauvel)
     Multiscale mapping of ecosystem services
     Now Senior Researcher at Hitachi, Ltd, Tokyo.
• Shaheera RASHWAN (2016-2017, funded by Ministry of High Education of Egypt)
     Split-and-merge approach for hyperspectral band selection
     Now Associate Professor at Informatics Research Institute, CSRT, Alexandria.
• Abderrahim HALIMI (2014, funded by ANR HYPANEMA, co-advisor: J.-Y. Tourneret)
     Spectral variability in hyperspectral image unmixing
     Now Associate Professor at University Heriot-Watt, Edinburgh.

Ph.D. Students

• Xiao ZHANG (2024, Univ. of Orléans, co-advisor: I. Cognard)
     Restoring dynamic spectra corrupted by radio frequency interference
• Florentin COEURDOUX (2023, INP Toulouse, co-advisor: P. Chainais)
     Monte Carlo sampling and deep generative models for Bayesian inference
     Now Quantitative Researcher at Capital Fund Management (CFM), France.
• Claire GUILLOTEAU (2021, INP Toulouse, co-advisors: Th. Oberlin and O. Berné)
     Fast fusion of multispectral and hyperspectral images for infrared astronomy
       Prix Léopold Escande, 2021
     Now Assistant Professor at Université du Littoral Côte d'Opale, France.
• Maxime VONO (2020, INP Toulouse, co-advisor: P. Chainais)
     Asymptotically exact data augmentation – Models and Monte Carlo sampling with applications to Bayesian inference
       Prix Léopold Escande, 2020
     Now Senior Research Scientist at Criteo AI Lab, Paris, France.
• Etienne MONIER (2020, INP Toulouse, co-advisor: Th. Oberlin)
     Fast recontruction of partially sampled multiband images for EELS spectromicroscopy
     Now Engineer at CS Group, Toulouse, France.
• Adrien LAGRANGE (2019, INP Toulouse, co-advisor: M. Fauvel)
     From representation learning to thematic classification - Application to hierarchical analysis of hyperspectral images
       Prix Léopold Escande, 2019
     Now Research Engineer at Airbus Defence and Space, Toulouse, France.
• Yanna CRUZ CAVALCANTI (2018, INP Toulouse, co-advisors: C. Tauber and Th. Oberlin)
     Factor analysis of dynamic PET images
     Now Lead Data Scientist at Nubank, Sao Paulo, Brazil.
• Vinicius FERRARIS (2018, INP Toulouse, co-advisor: M. Chabert)
     Fusion-based change detection for remote sensing images of different resolutions and modalities
     Now Data Science Manager at Whirlpool Corp., Sao Paulo, Brazil.
• Jessica SODJO (2018, Univ. Bordeaux, co-ad.: J.-F. Giovannelli, A. Giremus and F. Caron)
     Nonparametric Bayesian models for joint segmentation of a set of images with shared classes
     Now Assistant Professor at University of Guyane, France.
• Clément ELVIRA (2017, EC Lille, co-advisor: P. Chainais)
     Bayesian models for antisparse representation identification and Bayesian nonparametric principal component analysis
     Now Assistant Professor at CentraleSupelec Rennes, France.
• Pierre-Antoine THOUVENIN (2017, INP Toulouse, co-advisor: J.-Y. Tourneret)
     Modeling spatial and temporal variabilities in hyperspectral image unmixing
       Prix Léopold Escande, 2017
     Now Assistant Professor at Centrale Lille, France.
• Qi WEI (2015, INP Toulouse, co-advisor: J.-Y. Tourneret)
     Bayesian fusion of multi-band images: A powerful tool for super-resolution
       Prix Léopold Escande, 2015
     Now Senior Scientist at Uber, NYC, USA.
• Yoann ALTMANN (2013, INP Toulouse, co-advisor: J.-Y. Tourneret)
     Nonlinear spectral unmixing of hyperspectral images
       Prix de l'Académie des Sciences, Inscriptions et Belles-Lettres de Toulouse, 2014
       Prix Novéla, 2014
       Prix Léopold Escande, 2013
     Now Associate Professor at University Heriot-Watt, Edinburgh, UK.
• Cécile BAZOT (2013, INP Toulouse, co-advisor: J.-Y. Tourneret)
     Bayesian methods for gene expression factor analysis
     Now Technical Director at Exail, Toulouse, France.
• Olivier ECHES (2010, INP Toulouse, co-advisor: J.-Y. Tourneret)
     Bayesian methods for hyperspectral image unmixing
       Prix Léopold Escande, 2010
     Now Engineer at Capgemini, Toulouse, France.

Visiting Students

• Min ZHAO (2021-2022, Ph.D., Northwestern Polytechnical University)
• Jin-Ju WANG (2021-2022, Ph.D., University of Electronic Science and Technology of China)
• Ghada FATHI (2017, Ph.D., City for Scientific research And Technology application).

B.Sc./M.Sc. Students

• Arthur CHIRON (2024, M.Sc., University of Toulouse, co-advisor: N. Mellado)
• Tanguy DELMONT (2024, M.Sc., Toulouse INP, co-advisors: O. Burke, Th. Oberlin, S. Marsat, A. Basset)
• Rémy OGGERO (2023, M.Sc., University of Bordeaux, co-advisors: E. Cazelles and M. Chabert)
• Mamadou Lamarana DIALLO (2023, M.Sc., University of Pau, co-advisor: D. Labat)
• Jean MALLEJAC (2022, M.Sc., Centrale Lyon, co-advisors: E. Cazelles and M. Chabert)
• Hugo GOUTTENEGRE (2022, M.Sc., Centrale Lyon, co-advisor: H. Goulart)
• Alessandro GOLDWURM (2021, M.Sc., University of Toulouse, co-advisor: E. Cazelles)
• Lorinda HUBACHER (2021, B.Sc., Toulouse INP)
• Florian MORIOUSEF (2021, B.Sc., ISAE, co-advisors: C. Guilloteau, Th. Oberlin, O. Berné, Th. Contini)
• Claire GUILLOTEAU (2018, M.Sc., INSA Rouen, co-advisors: Th. Oberlin and O. Berné).
• Chih Heng TENG (2017, M.Sc., INP Toulouse, co-advisors: Th. Oberlin and M. Chabert).
• Lisa MICHEL (2016, M.Sc., Univ. Reims, co-advisor: Th. Oberlin).
• Laurent DESMET (2016, B.Sc., INP Toulouse).
• Sophia HOURIEZ (2015, B.Sc., INP Toulouse, co-advisor: H. Wendt).
• Laurent MARTIN (2015, B.Sc., INP Toulouse).
• Abdelghafour HALIMI (2014, M.Sc., INP Toulouse, co-advisor: J.-Y. Tourneret).
• Pierre-Antoine THOUVENIN (2014, M.Sc., ENSEEIHT, co-advisor: J.-Y. Tourneret).
• Jean-Alain LUCCIARDI (2013, B.Sc., ENSEEIHT, co-advisor: J.-Y. Tourneret).
• Cambodge BIST (2013, B.Sc., ENSEEIHT, co-advisor: J.-Y. Tourneret).
• Ahmed Taha ZAARI JABIRI (2012, B.Sc., ENSEEIHT, co-advisor: J.-Y. Tourneret).
• Yanna CRUZ CAVALCANTI (2012, B.Sc., ENSEEIHT, co-advisor: J.-Y. Tourneret).
• Yoann ALTMANN (2010, M.Sc., INP Toulouse, co-advisor: J.-Y. Tourneret).
• Abderrahim HALIMI (2010, M.Sc., INP Toulouse, co-advisor: J.-Y. Tourneret).
• Ismail FOURARI (2009, B.Sc., ENSEEIHT, co-advisor: J.-Y. Tourneret).
• Inès MEGANEM (2008, B.Sc., ENSEEIHT, co-advisor: J.-Y. Tourneret).
• Kamel BENZAÏD (2005, B.Sc., ENSEEIHT, co-advisor: J.-Y. Tourneret).

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Other collaborations with Ph.D. students and postdocs

• Laureen COIC (2023, Postdoc, University of Lille, advisor: Cyril Ruckebusch),
     Identification of essential pixels
• Christophe KERVAZO (2020, Postdoc, University of Mons, advisor: N. Gillis),
     Blind source separation from bilinear mixtures
• Sébastien COMBREXELLE (2016, INP Toulouse, advisors: H. Wendt and J.-Y. Tourneret),
     Multifractal analysis for multivariate data
• Jordan FRECON (2016, ENS Lyon, advisors: P. Abry and N. Pustelnik),
     Proximal minimization for segmentation of signals with local regularity
• Olivier CHABIRON (2015, INP Toulouse, advisors: J.-Y. Tourneret and F. Malgouyres),
     Convolution tree learning for sparse representation
• Zacharie IRACE (2014, INP Toulouse, advisor: H. Batatia)
     Statistical modeling and segmentation of TEP images
• Laurent TITS (2013, KU Leuven, advisors: P. Coppin and B. Somers),
     Hyperspectral signal unmixing techniques for site specific plant state Monitoring
• Se Un PARK (2012, University of Michigan, advisor: A. O. Hero),
     Reconstruction, classification, and segmentation for computational microscopy
• Georg KAIL (2012, Vienna University of Technology, advisor: F. Hlawatsch),
     Markov chain Monte Carlo methods for detection and estimation with structural constraints
• Marcelo PEREYRA (2012, INP Toulouse, advisor: H. Batatia),
     Statistical modeling and processing of high frequency ultrasound images
• Roni MITTELMAN (2012, Postdoc, University of Michigan, advisor: A. O. Hero),
     Bayesian nonparametrics for segmentation of hyperspectral images
• Céline QUINSAC (2011, Postdoc, IRIT, advisors: D. Kouamé and A. Basarab),
     Bayesian compressed sensing for ultrasound images