Luca Calatroni

Address:Dipartimento di Informatica, Bioingegneria, Robotica e Ingegneria dei Sistemi (DIBRIS) & MaLGa, Via Dodecaneso 35, 16146, Genoa, Italy.
e-mail:luca.calatroni[at]unige[dot]ittel:+39(0)103356732

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Luca Calatroni

Associate Professor @ Computer Science, Bioengineering, Robotics and Systems Engineering Department (DIBRIS), University of Genoa, Italy.
PI@ Machine Learning Genoa Center (MaLGa), leading the Computational Imaging & Learning (CIL) research unit.
Affiliated to the Molecular Microscopy and Spectroscopy team @ Italian Institute of Technology (IIT), Genoa, Italy.
CNRS researcher (chargé de recherche) in the Morpheme team @ I3S laboratory in Sophia-Antipolis, France (on leave since Nov. 2024).

Research interests

Modelling and optimisation for mathematical image processing, with focus on:

variational reconstruction methods in imaging inverse problems
non-smooth & non-convex optimisation
physics-inspired learning with convergence guarantees

with applications to:

computational microscopy
digital restoration and analysis of artworks
bio-inspired models for vision

Open positions

I am always looking for motivated researchers working with me in the vibrant Computational Imaging & Learning research team. In case you are interested in my research activity, do not hesitate to submit spontaneous applications following this link or contacting me directly via e-mail.

Funded research projects (selection)

Royal Society International Exchanges Program, VALID (Variable-metric Bregman Algorithms for sparse imaging and data-driven regularisation). CO-PI: A. Repetti (Heriot Watt University, Edinburgh, UK).
ERC Starting Grant 2023, MALIN (Model-aware learning for imaging inverse problems in fluorescence microscopy). Press releases: here, here and here [France]; here [Italy].

ANR JCJC TASKABILE - Task-adapted bilevel learning of flexible statistical models for imaging and vision. Project website
ANR PRC MICROBLIND - Blind inverse problems and optical microscopy. PI: P. Weiss (CNRS, IMT).

Computational Imaging & Learning winter school

I am organising a PhD winter school on Computational imaging and learning: from physics to data-driven methods in the period February 23-27 2026. The school will take place at the University of Genova and will have T. Bubba (University of Ferrara), P. Escande and E. Soubies (CNRS) as instructors.

News

Joined the SIAM journal of Imaging Sciences editorial board.
Invited seminar in the research Inria team Thoth led by J. Mairal, January 5 2026, Grenoble, France.
Co-organiser (with G. Alberti, F. Benvenuto, C. Estatico, S. Guastavino, M. Santacesaria) of the Italian Inverse Problems & Imaging meeting, January 19-21 2026, Department of Mathematics and Department of Computer Science, University of Genoa, Italy.
Invited speaker at the SIAM Chapters Meeting for Applied Mathematics, Politecnico di Milano, Italy, January 29-30 2026.
Invited speaker at the workshop Imaging inverse problems and generative models: sparsity and robustness versus expressivity, May 4-7 2-2026, ICMS, Edinburgh, UK.
Speaker at the mini-symposium Learning to Optimize organised in the occasion of the SIAM Optimziation (SIOPT) conference, June 2-25 2026, Edinburgh, UK.
Co-organiser (with S. Villa and F. Rinaldi) and speaker in the stream Zeroth and first order methods in convex and non-convex optimisation of the EUROPT conference, July 8-10 2026, Linz, AU.
Invited speaker to the special session Signal Processing and AI for Cultural Heritage Applications at the EUSIPCO conference, August 31-September 4 2026, Bruges, BE.

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