Christophe Kervazo
Assistant Professor (Maître de Conférences), Télécom Paris
Job offers:
PhD (CIFRE at EcaGroup) : target reconstruction in synthetic aperture sonar (full subject here)
PhD (with ONERA) : Optimisation robuste du choix de bandes spectrales pour la détection d'anomalies (sujet ici). Thèse réalisée à l'ONERA, en collaboration avec Sidonie Lefebvre.
Internship (M2, 6 months) : Plug-and-Play algorithm for hyperspectral unmixing (sujet ici)
Internship (M2, 6 months) : Contrastive learning for hyperspectral unmixing (sujet ici)
About me
I received Supélec (France) engineering degree in 2015, and the master of science in Electrical and Computer Engineering from Georgia Institute of Technology (USA) in 2016. From 2016 to 2019, I was a PhD student in the CosmoStat group at CEA Saclay (France), where I worked on the optimization framework for sparse blind source separation, as well as non-linear component separation. I then went for one year in Mons (Belgium) where I worked, as a post-doctoral researcher, on the extension of Nonnegative Matrix Factorization to Linear-Quadratic mixture unmixing.
I am currently an Assistant Professor (maître de conférences) at Télécom Paris (France), in the IMAGES group.
Research interests
Sparse Blind Source Separation
(Provably robust) Nonnegative Matrix Factorization
Non-linear component separation methods (with sparsity or nonnegativity constraints)
Optimization: hyper-parameter choice and scalable multi-convex optimization
Deep learning for inverse problems and unrolling techniques
Hyperspectral imaging
Diapos et TP cours MVA remote sensing: ici
Contact
Télécom ParisTech,
19 Place Marguerite Perey, 91120 Palaiseau (France)
christophe.kervazo@telecom-paris.fr
Collaborators
Jérôme Bobin (CEA Saclay)
Nicolas Gillis (Université de Mons)
Nicolas Dobigeon (INP ENSEEIHT)
Florence Tupin (Télécom Paris)
Florent Sureau (CEA Saclay)
Cécile Chenot (Thalès)
Arnaud Woiselle (SAFRAN)
Saïd Ladjal (Télécom Paris)
Jérémy Cohen (CREATIS lab)
...
Current students
Rassim Hadjeres (PhD) :Machine learning for non-linear models in hyperspectral unxmining.
Arnaud Quillent (PhD) : digital breast tomosynthesis.
Thomas Bultingaire (PhD) : change detection for multi-modal remote sensing images.
Cristiano Ulondu Mendes (PhD) : 3D reconstruction from SAR images.
Xinxin Xu (PhD) : hyperspectral super-resolution.
Erwan Dereure (PhD) : quantitative analysis of bioluminescent signal in preclinical imaging.
Jonathan Kern (Post-doc, co-supervision with J. Bobin) : deep unrolling for radio-interferometry.
Former students
Wenjia Fang (M2 internship, hosted by CEA) : unrolling for underdetermined blind source separation.
Thomas Sepulchre (M2 internship, hosted by CEA) : interpolary auto-encoders for hyperspectral unmixing
Abdelkhalak Chetoui
Master 1 intership on unrolling methods for nonnegative matrix factorizationMohammad Fahes
Master 2 internship on Unrolling methods for sparse Blind Source SeparationYarui Zhang
Master 2 internship on Implicit regularization for the estimation of the number of sources in sparse Blind Source Separation
Now PhD student at CentraleSupélecTobias Liaudiat
Master 2 internship on Distributed sparse Blind Source Separation
Now PhD student at CEA Saclay (Cosmostat group)