Associate professor at LISTIC - Université Savoie Mont Blanc.
I work on statistical signal and image processing, computational imaging.
Current topics of interests are : application of optimal transport in signal and image processing, scalable proximal optimization algorithms and applications in imaging, radio-interferometric imaging algorithms, remote sensing and covariance based machine learning algorithms
My interests lie at the frontier between applied mathematics and its application in constrained signal processing systems.
Teaching at the Electrical Engineering and Industrial Computing department (GEII) of IUT d’Annecy.
Recent publications
- 2026
- 2025
- 2025
- 2024
- 2024
Open positions
Supervision
PhD students
- Nils Peyrouset · 2026– · with G.Ginolhac (LISTIC) and A.Constantin (CNES) Multimodal Registration of SAR and optical images based on covariance features and associated metrics.
- Yassine Zaoui · 2026– · with G.Ginolhac (LISTIC), M.Gallet (LISTIC) and O.Lerda (Exail) Domain Adaptation for Sonar Time Series Classification with second order statistics
Master interns
- Joao Cavalcante · 2026 · M1, INSA Rennes Quantification study for radio-astronomy imaging
- Mamour Ndiaye · 2025 · M2 Image et Sciences des Données Université de Bordeaux · (PhD at LISTIC) - Design of an Unrolled Neural Network for Hyperspectral Pansharpening
- Virgil Czepczynski · 2026 · ENS Lyon, L3 Économie Exeprimenting with Domain Adaptation Strategies for SPD-Net type neural newtorks.
Career
- 2024– Associate professor, LISTIC, Université Savoie Mont Blanc, Annecy
- 2023–2024 Postdoc, MAP5, Université Paris Cité — hyperspectral image reconstruction (ANR Fu-MultiSpoc), with A. Almansa, R. Abergel and L. Moisan
- 2020–2023 PhD, SATIE, Université Paris-Saclay — statistical signal processing for radio-interferometry, supervised by P. Larzabal, M. N. El Korso and A. Breloy
- 2019–2020 R&D algorithm engineer, Phasics — wavefront sensing