Statistical signal and image processing.
Inverse problems.
Computational imaging.
Enhanced and robust sensing.
Interfacing Bayesian modelling, optimization and deep learning.
Bayesian inference: variational models, hierarchical models.
Model based deep learning: unrolling, plug-and-play.
Optimization algorithms: proximal algorithms, ADMM.
Statistical based deep-learning: diffusion models, VAE
(For more details (simulation results, Matlab codes, papers...), click on the links when available.)
Nonlinear Spectral unmixing, generalized bilinear model, endmember extraction, spectral variabily, robust unmixing.
Coastal altimetry, delay/Doppler altimetry, modeling altimetric signals, parameter estimation, signal filtering.
Robust 3D imaging, Depth and intensity restoration, sparse data, underwater 3D imaging, multi-depths imaging.
Current PhDs/Post-Docs
Pallabjyoti Deka (2024 - ): PhD supervision
Sabrina henry (2024 - ): PhD co-supervision with J. Leach
Imad Gohar (2022 - ): PhD co-supervision with S. John
Dr Sandor Plosz (2023 - ): Post-Doc co-supervision with J. Leach
Former PhDs/Post-Docs
Dr Alice Ruget (2023 - 2025): Post-Doc co-supervision with S. mcLaughlin
Dr Alice Ruget (2020 - 2023): PhD co-supervision with J. Leach
Dr Amir Belmekki (2019 -2023 ): PhD co-supervision with S. McLaughlin
Dr Jakeoung Koo (2021 - 2022): Post-Doc co-supervision with S. McLaughlin
Dr Sandor Plosz (2020 - 2023): Post-Doc supervision
Dr Songmao Chen (2017-2020): PhD co-supervision
Dr Hamza Cherkaoui (2018-2021): PhD co-supervision with P. Ciuciu
Robert Lamb (Leonardo, UK).
Pierre Thibaut (CLS Toulouse - France).
Thomas Moreau (CLS Toulouse - France).
Francois Boy (CNES Toulouse - France).
Nicolas Picot (CNES Toulouse - France).