Supervision activities
Post-doc
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
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. Link to the PhD thesis. 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. Link to the PhD thesis. Now: PostDoc at Imaging Centre of EPFL, CH.
Master
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): Space-variant hyperparameter estimation for imaging inverse problems via algorithmic unrolling.
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.
Teaching @ Unibo
Academic year 2022/2023
Smooth and non-smooth, convex and non-convex optimisation for imaging
PhD winter school on "Advanced methods for mathematical image analysis".
Course duration: 8 hours (lectures + exercise and lab classes)
Teaching assistants M. Lazzaretti (UniGe, UCA).
Course website and material: Click here.
Teaching @ UCA
Academic year 2021/2022 - 2022/2023
Inverse problems in image processing
MSc in Data Science and Artificial Intelligence
Lecturers: L. Blanc-Féraud, L. Calatroni (CNRS).
Teaching assistants: M. Lazzaretti, V. Stergipoulou.
Course website (Moodle): Click here (2021/2022) and here (2022/2023).
Teaching @ École Peyresq 2020-2021
Short course: Bilevel optimisation models for hyperparameter estimation in imaging inverse problems
XV École GRETSI: Signal and image processing for the co-design of innovative imaging systems: physique, mathematics and algorithms
Organisers: L. Blanc-Féraud (I3S), A. Almansa (CNRS)
Course website: Click here
Material available upon request.
Teaching @ UCA
Academic year 2020/2021 - 2021/2022
Where art & mathematics meet
ECUE Histoire de l'histoire de l'art - HMEVHA1, Master civilisation culture et société
Lecturers: A. Zucker, R. M. Dessì, M. Lauwers (CEPAM)
Course website (MOODLE): Click here
LECT 1: Where art & mathematics meet + Mathematical challenges in cultural heritageLECT 3: Image osmosis for data fusion: some applications to cultural heritage
Material available upon request.
Teaching @ Università di Bologna
Academic year 2018/2019
Variational and PDE models for mathematical image processing
PhD Program in Mathematics.
Period: 9-17 May 2019.
Course website: click here.
LECT 1: Introduction: imaging inverse problems. Statistical, variational and PDE approaches.LECT 2: Review of functional and convex analysis. The space BV. The Rudin Osher Fatemi denoising model.LECT 3: Well-posedness of the ROF model and of deblurring/inpainting TV models. Optimality conditions.LECT 4: MATLAB implementation of TV denoising/inpainting models.LECT 5: Anisotropic diffusion & directional variational models. LECT 6: MATLAB implementation of automatic colour TV inpainting.LECT 7: Image osmosis.LECT 8: MATLAB implementation of face cloning via image osmosis.
Material available upon request.
Teaching @ École Polytechnique
Academic years 2017/2018, 2018/2019.
Discrete Mathematics (MAA 103): exercise classes
Bachelor Program, 1st semester.
Lecturer: I. Kortchemski.
TD 1: Sets. TD 2: Formal logic, truth tables, methods of proof.TD 3: Quantified statements.TD 4: Functions: injectivity, surjectivity, bijectivity.TD 5: Functions: images and preimages of sets.TD 6: Mathematical induction.TD 7: Review of the previous weeks.TD 8: Cardinality and combinatorics.TD 9: Binomial coefficients.TD10: Combinatorics - again.TD11: Permutations.TD12: The tower of Hanoi.TD13: Finite probability spaces.TD14: Independence and conditional probabilities.TD15: Random variables.
Mathematical Modelling (MAA 107): exercise classes
Bachelor Program, 2nd semester.
Lecturers: V. Bansaye, T. Mastrolia.
Teaching @ Università di Genova
Academic year 2015/2016.
Inverse problems and applications: MATLAB Lab
Università degli studi di Genova, Master Degree in Applied Mathematics, 2nd semester
Lecturers: C. Estatico, A. Sorrentino.
Course website: Click here
LAB 1: The image deblurring problem.LAB 2: Spectral filtering and parameter selection.LAB 3: Iterative regularisation.LAB 4: Bayesian approach: importance sampling.LAB 5: Bayesian approach: Metropolis-Hastings.
Material available upon request.
Mathematical models for applications and data analysis: theory and MATLAB Lab
Università degli studi di Genova, Master Degree in Applied Mathematics, 2nd semester
Organiser: Camelot Biomedical Systems.
LECT 1: Co-registration of biomedical images.LECT 2: Image segmentation. LECT 3 (by S. Cazzato): Machine learning and predictive analytics. LECT 4: Easy image denoising.
Material available upon request.
Teaching @ University of Cambridge
Academic years 2013/2014, 2014/2015.
- supervisor of the course Analysis II, Part IB of the Mathematical Tripos, Michaelmas 2013, Michaelmas 2014.
- supervisor of the course Topics in Analysis, Part II of the Mathematical Tripos, Michaelmas 2014.
Material available upon request.
Teaching @ Università di Pavia
Academic years 2009/2010, 2010/2011.
- teaching assistant of the course Calculus and elementary Probability of the Degree in Natural Sciences.
- teaching assistant of the course Geometry I of the Degree in Mathematics.
Material available upon request.