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Charles SOUSSEN

I was born in France in 1972. I graduated from the Ecole Nationale Supérieure en Informatique et Mathématiques Appliquées, Grenoble, France (ENSIMAG) in 1996. I received the PhD degree in Signal and Image Processing from the Laboratoire des Signaux et Systèmes (L2S), Université de Paris-Sud, Orsay, France, in 2000, and the Habilitation à Diriger des Recherches at University of Lorraine, France, in 2013. I was Associate Professor at Paris-Sud University from 2001 to 2005 and at University of Lorraine from 2005 to 2017. I have been with L2S since 2017. My research interests are in inverse problems and sparse approximation. I am the principal investigator of the French ANR project BECOSE (Beyond Compressive Sensing: Sparse approximation algorithms for ill-conditioned inverse problems, 2016-2020). Since Jan. 2020, I am in charge of the Signals and Statistics Pole of L2S.

L2S, CentraleSupélec
3 rue Joliot Curie
91190 Gif-sur-Yvette, France

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Publications

SoftwarePhD SupervisionActivitiesScientific Animation

Journal articles

2024

A novel method for noninvasive estimation of respiratory effort during pressure support ventilation
Pasillas-Lépine, Tuffet, Soussen, Gendreau, Boujelben, Mekontso-Dessap, Carteaux
Biomedical Signal Processing and Control, 93, p. 106176, 2024
2021

K-step analysis of orthogonal greedy algorithms for non-negative sparse representations
Nguyen, Soussen, Idier, Djermoune
Signal process., 188, Elsevier, p. 108185, 2021

When does OMP achieve exact recovery with continuous dictionaries?
Elvira, Gribonval, Soussen, Herzet
Applied and Computational Harmonic Analysis, 51, p. 39, 2021

Improved deconvolution of mineral reflectance spectra
Rialland, Soussen, Marion, Carrere
J-STARS, 14, IEEE, p. 9711-9726, 2021
2019

Non-negative orthogonal greedy algorithms
Nguyen, Idier, Soussen, Djermoune
IEEE Transactions on Signal Processing, 67 (21), p. 5643-5658, 2019

Source separation approach for the analysis of spatially resolved multiply excited autofluorescence spectra during optical clearing of ex vivo skin
Rakotomanga, Soussen, Khairallah, Amouroux, Zaytsev, Genina, Chen, Delconte, Daul, Tuchin, Blondel
BOE – Biomed opt express, 10 (7), Optical Society of America – OSA Publishing, p. 3410-3424, 2019

ROHSA: Regularized Optimization for Hyper-Spectral Analysis
Marchal, Miville-Deschênes, Orieux, Gac, Soussen, Lesot, Revault d’Allonnes, Salomé
Astron. Astrophys. – A&A, 626, EDP Sciences, p. A101, 2019

A parallelizable framework for segmenting piecewise signals
Duan, Soussen, Brie, Idier, Wang, Wan
IEEE Access, 7, p. 13217-13229, 2019

Parameterized Source Separation For Delayed Spectroscopic Signals
Mortada, Mazet, Soussen, Collet, Poisson
Signal process., 158, Elsevier, p. 48-60, 2019
2016

Generalized LASSO with under-determined regularization matrices
Duan, Soussen, Brie, Idier, Wan, Wang
Signal process., 127, Elsevier, p. 239-246, 2016

Conference papers

2023

Marginal MAP estimation of a Bernoulli-Gaussian signal: continuous relaxation approach
Barbault, Kowalski, Soussen
EUSIPCO 2023 – the 31st European Signal Processing Conference, Helsinki, Finlande, 2023

Estimation du MAP Marginal d’un signal Bernoulli-Gaussien: une approche par relaxation continue
Barbault, Kowalski, Soussen
GRETSI 2023 – XXIXème Colloque Francophone de Traitement du Signal et des Images, Grenoble, France, 2023
2022

Estimation des paramètres d’un prior Bernoulli-Gaussien en problèmes inverses
Barbault, Kowalski, Soussen
GRETSI 2022 – XXIIXème Colloque Francophone de Traitement du Signal et des Images, Nancy, France, 2022

Parameter Estimation in Sparse Inverse Problems Using Bernoulli-Gaussian Prior
Barbault, Kowalski, Soussen
2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022), Singapore, Singapour, 2022
2021

Identification of minerals from hyperspectral imaging based on a fuzzy logic approach
Rialland, Carrere, Marion, Soussen
SPIE Defense + Commercial Sensing,, Online, États-Unis, 2021

OMP-based algorithm for mineral reflectance spectra deconvolution from hyperspectral images
Rialland, Soussen, Marion, Carrere
International Geoscience and Remote Sensing Symposium, Waikoloa, HI (virtual), États-Unis, 2021
2020

Exact recovery analysis of non-negative orthogonal greedy algorithms
Nguyen, Soussen, Idier, Djermoune
International Traveling Workshop on Interactions between low-complexity data models and Sensing Techniques, iTWIST 2020, Nantes, France, 2020

Study of the impact of optical clearing on skin absorption, scattering and autofluorescence properties
Blondel, Zaytsev, Colas, Khairallah, Rakotomanga, Soussen, Genina, Daul, Tuchin, Amouroux
19th International Conference on Laser Optics, ICLO 2020 (6th International Symposium on Lasers in Medicine and Biophotonics), St Petersburg, Russie, 2020

Exact recovery analysis of non-negative greedy algorithms
Nguyen, Soussen, Idier, Djermoune
GDR MIA, journée Optimisation parcimonieuse non-convexe, Toulouse, France, 2020
2019

Modifications of skin optical properties throughout optical clearing process based on spatially resolved autofluorescence and diffuse reflectance tissue spectroscopy
Blondel, Rakotomanga, Zaytsev, Khairallah, Soussen, Genina, Feng, Zhu, Tuchin, Amouroux
12th International Photonics and Optoelectronics Meetings, POEM 2019 – 7th Sino-French Optoelectronics Forum, Wuhan, Chine, 2019

Books

2018
Autres ouvrages scientifiques

A case of exact recovery using OMP with continuous dictionaries
Elvira, Gribonval, Herzet, Soussen
2018

Non-negative orthogonal greedy algorithms for sparse reconstruction
Nguyen, Idier, Soussen, Djermoune
2018
2015
Chapitres d’ouvrages scientifiques

Analysis of force-volume images in atomic force microscopy using sparse approximation
Soussen, Brie, Francius, Idier
in Regularization and Bayesian methods for inverse problems in signal and image processing, pp. 31-56, ISTE Ltd and John Wiley & Sons Inc, 2015
2013

Approximation parcimonieuse pour l’analyse d’images force-volume en microscopie de force atomique
Soussen, Brie, Francius, Idier
in Méthodes d’inversion appliquées au traitement du signal et de l’image, pp. 53-77, Lavoisier-Hermes Science Publications, 2013

Approximation parcimonieuse pour le traitement d’image force-volume en microscopie de force atomique IC2 Traitement Signal et Image
Soussen, Brie, Francius, Idier
in Méthodes d’inversion appliquées au traitement du signal et de l’image, pp. 53-73, Hermès – Lavoisier, 2013
2010

Efficient Domain Decomposition for a Neural Network Learning Algorithm, used for the Dose Evaluation in External Radiotherapy
Sauget, Laurent, Henriet, Salomon, Gschwind, Contassot-Vivier, Makovicka, Soussen
in Artificial Neural Networks – ICANN 2010 20th International Conference Proceedings, pp. 261-266, Springer-Heidelberg, 2010
2009

Surface reconstruction from tomography data
Soussen, Mohammad-Djafari
in Inverse Problems in Vision and 3D Tomography, pp. 289-322, Wiley, 2009

Reconstruction des surfaces en tomographie
Soussen, Mohammad-Djafari
in Problèmes inverses en imagerie et en vision, pp. 287-319, Hermès, 2009

Patents and software

These/HDR

2013
H.D.R.

Algorithmes d’approximation parcimonieuse inspirés d’Orthogonal Least Squares pour les problèmes inverses
Soussen
2013
2000
Thèses

Reconstruction 3D d’un objet compact en tomographie
Soussen
Université Paris Sud – Paris XI, 2000

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