2024:
09/2024: Together with V. Ruggiero, we are organising a winter school on Advanced Numerical Methods for Machine and Deep Learning at the University of Ferrara, 20-24 January 2025. This is aimed at PhD students, and early career researchers. The deadline to register is 15 November using this form.
08/2024: Looking forward to the next edition of SSVM 2025, to be held at Dartington Hall (Devon, UK) on 18-22 May 2025. The deadline for paper submission is 30 November 2024. This is co-organised with S. Gazzola, K. Papafitsoros, R. Gaburro, M. Pereyra & C. Schönlieb.
05/2024: New preprint out: Regularization with optimal space-time priors. This is a joint work with T. Heikkilä, D. Labate and L. Ratti.
04/2024: Together with B. Hosseini, Y. Korolev and M. Thorpe, we are organising in Bath (UK) a workshop on Machine Learning in Infinite Dimensions, from 5th to 9th August 2024, supported by ICMS, LMS and Maths4DL. Apply (to attend and for financial support) by 5th June here.
03/2024: Our paper Trust your source: quantifying source condition elements for variational regularisation methods has been accepted for publication in IMA Journal of Applied Mathematics. This is a joint work with M. Benning, L. Ratti and D. Riccio.
03/2024: Very happy to join the Editorial Board of Applied Mathematics for Modern Challenges!
02/2024: Our paper Learning a microlocal prior for limited-angle tomography has been accepted for publication in IMA Journal of Applied Mathematics. This is a joint work with S. Rautio, R. Murthy, M. Lassas and S. Siltanen.
2023:
12/2023: I was awarded the title Abilitazione Scientifica Nazionale (01/A5, Analisi Numerica, II Fascia), from the Italian Ministry of Education.
09/2023: Our paper In-air and in-water performance comparison of Passive Gamma Emission Tomography with activated Co-60 rods has been accepted for publication in Scientific Reports. This is a joint work with R. Virta, M. Moring, S. Siltanen, T. Honkamaa & P. Dendooven.
06/2023: Very happy to serve as a Guest Editor for the Special Issue of Applied Mathematics for Modern Challenges on the "Helsinki Tomography Challenge 2022".
04/2023: Looking forward to our INdAM workshop on Learning for Inverse Problems from 5th to 9th June 2023. This is co-organised with G. Alberti, A. Aspri, M. Santacesaria & L. Ratti.
03/2023: New funding secured! Royal Society International Exchanges grant on Sparsity promoting algorithms for statistical inverse learning problems (SPA4SIL). Matteo Santacesaria from MaLGa & University of Genoa is the co-PI.
03/2023: Our paper Convex regularization in statistical inverse learning problems has been accepted for publication in Inverse Problems and Imaging. This is a joint work with M. Burger, T. Helin and L. Ratti.
03/2023: Our paper Efficient representation of spatio-temporal data using cylindrical shearlets has been accepted for publication in Journal of Computational and Applied Mathematics. This is a joint work with G. Easley, T. Heikkilä, D. Labate and J.P. Rodriguez-Ayllon.
03/2023: New preprint out: Trust your source: quantifying source condition elements for variational regularisation methods. This is a joint work with M. Benning, L. Ratti and D. Riccio.
02/2023: New preprint out: Bilevel learning of regularization models and their discretization for image deblurring and super-resolution. This is a joint work started during the INdAM workshop on Advanced Techniques in Optimisation for Machine Learning and Imaging (ATOMI) last June.
2022:
09/2022: I will be teaching at the Hausdorff School on Data-driven Inverse Problems in Biomedical Imaging, April 11 - 14, 2023, in Bonn, Germany. If you are interested in taking part, the deadline for applications is January 1, 2023.
09/2022: Very excited about our BIRS workshop on Leveraging Model and Data-Driven Methods in Medical Imaging, happening from 25th to 30th June 2023. This is organised together with D. Labate.
08/2022: Our book chapter Gamma ray emission imaging in the medical and nuclear safeguards fields is finally out! This is a joint work with Peter Dendooven (Helsinki Insitute of Physics & University Medical Center Groningen).
08/2022: Our paper Improved Passive Gamma Emission Tomography image quality in the central region of spent nuclear fuel has been accepted in Scientific Reports. This is a joint work with R. Virta, M. Moring, S. Siltanen, T. Honkamaa and P. Dendooven.
06/2022: Looking forward to our INdAM workshop on Advanced Techniques in Optimisation for Machine Learning and Imaging (ATOMI) from 20th to 24th June. You can register here to follow the talks online.
04/ 2022: Our paper Shearlet-based regularization in statistical inverse learning with an application to X-ray tomography has been accepted in Inverse Problems. This is a joint work with Luca Ratti (UniGe & MaLGa).
01/2022: Very excited to start my new position as a Lecturer (Assistant Professor) in Applied Mathematics at the University of Bath.