Team
I have and have had the privilege to work with several brilliant young minds during my career on a plethora of different projects. Here it the list of the students and researchers I have supervised, and, where known, some information on what they have become (only for PhD and Post-docs).
Post-doc
Nathan Buskulic (January 2025-), Operator learning for semi-blind deconvolution problems.
Gabriele Scrivanti (October 2024-), co-supervision with S. Cacovich (CNRS, IPVF): Learning approaches for image reconstruction of parameter maps in halide perovskite data.
Ilias Rentzeperis (October 2021 - October 2022), co-supervision with D. Prandi (CNRS, L2S), L. Perrinet (CNRS, INT): Sparse coding and efficient representation of visual stimuli. Now: Post-doc at Spanish Centre of Research (CSIC).
PhD
Christian Daniele (January 2025-), co-supervision with S. Vaiter (CNRS), S. Villa (UniGe), Deeply learned regularisation for non-quadratic imaging inverse problems. Best poster award @ UniBo PhD school 2025.
Hamza Mentagui (November 2023-), co-supervision with L. Blanc-Féraud (CNRS), Generative and optimisation approaches for super-resolution in fluorescence microscopy.
M'hamed Essafri (October 2023-), co-supervision with E. Soubies (CNRS), Exact relaxations for sparse optimization.
Perrine Saillard (November 2022-), co-supervision with R. M. Dessì (UCA): Artificial intelligence and mathematical imaging techniques for restoration of frescoes and mural paintings in the Alpine arc.
Marta Lazzaretti (November 2020-April 2024), co-supervision with C. Estatico (UniGe): Optimisation algorithms in non-standard Banach spaces for inverse problems in imaging. PhD thesis. EDSTIC best PhD thesis award. Now: PostDoc at MIDA group, University of Genoa, IT.
Vasiliki Stergiopoulou (January 2020 -January 2023 ), co-supervision with L. Blanc-Féraud (CNRS) and S. Schaub (CNRS): Learning and optimisation for 3D+t super-resolution in fluorescent microscopy. PhD thesis. Now: PostDoc at Imaging Centre of EPFL, CH.
Research engineers
Wessim Omezzine (July-October 2024), co-supervision with L. Blanc-Féraud (CNRS) and S. Schaub (LBDV), Stochastic fluorescence fluctuations modelling via Markov models.
Master
Sofia Agostoni (March 2025-), Learned regularisation for image reconstruction in image scanning microscopy.
Joseph Arnold (March 2025-), Convergent plug and play approaches for blind inverse problems.
Christian Daniele (June-October 2024), co-supervision with S. Vaiter (CNRS) and S. Villa (University of Genoa), Deep equilibrium models for imaging inverse problems.
Anran Xu (May-October 2024), co-supervision with L. Blanc-Féraud (CNRS), Neural fields modelling of fluorescence microscopy inverse problems.
Claudio Fantasia (May-October 2024), co-supervision with X. Descombes (Inria): Patch-based learning of space-variant hyperparameters in variational image restoration.
Sarah M'Nasri (May-August 2024), co-supervision with L. Blanc-Féraud (CNRS), Generative approaches for super-resolution in MA-TIRF microscopy.
Hamza Mentagui (April-September 2023), co-supervision with L. Blanc-Féraud (CNRS), Generative approaches for super-resolution in fluorescence microscopy.
Carlo Santambrogio (March-August 2023), co-supervision with A. Lanza (UniBo), M. Donatelli (UnInsubria), Bilevel optimisation for automatic parameter selection via residual whiteness principle.
M'hamed Essafri (February-July 2023), co-supervision with E. Soubies (CNRS), Exact continuous relaxations for l_0 norm with general fidelities.
Sai Muttavarapu (April-September 2022), co-supervision with L. Blanc-Féraud (CNRS), Super-resolution fluorescent microscopy using VAEs.
Fabio Merizzi (March-August 2022), co-supervision with R. M. Dessì (UCA) and E. L. Piccolomini (UniBo), Deep learning methods for inpainting and text recognition of ancient frescoes.
Mayeul Cachia (May-November 2021), co-supervision with L. Blanc-Féraud (CNRS) and S. Schaub (CNRS), Super-resolution fluorescent microscopy using GANs.
Giuseppe Recupero (April-July 2021), co-supervision with S. Parisotto (University of Cambridge), S. Morigi (UniBo), Non-linear diffusion models for image and mesh processing.
Rim Rekik Dit Nekhili (March-August 2021), co-supervision with X. Descombes (Inria): Space-variant hyperparameter estimation in microscopy inverse problems via deep learning.
Marta Lazzaretti (March-September 2020), co-supervision with C. Estatico (UniGe): Continuous relaxation of sparse \ell^0 optimisation problems in fluorescence microscopy with Poisson data.
Gabriele Scrivanti (April-July 2020), co-supervision with A. Achim (UOB), S. Morigi (UniBo): Non-convex super-resolution of OCT images via sparse representation.
Theo Jolivet (May-August 2019): Continuous optimisation methods for imaging: proximal and forward-backward algorithms.
Alessia Manenti (April-October 2017), co-supervision with C. Estatico (UniGe): Variational and PDE models for image inpainting.
Nicola Garibaldi (September 2016-March 2017), co-supervision with C. Estatico (UniGe): Alternating Direction Implicit (ADI) splitting methods for image osmosis models.