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

Currently I do not have any available open position. However, 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).

News

Joined the SIAM journal of Imaging Sciences editorial board.
Speaker at Journées SMAI-MODE 2026, Universitè Côte d'Azur, March 18-20 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.
Lecturer at the mini-corso on Computational imaging & learning, University of Padua, Padua, May 11-15.
Speaker at the mini-symposium Learning to Optimize organised in the occasion of the SIAM Optimziation (SIOPT) conference, June 2-25 2026, Edinburgh, UK.
Organiser of the mini-symposium Advanced on Optimisation and Data-Driven approaches for Inverse problems organised in the occasion of the SIAM Optimziation (SIOPT) conference, June 2-25 2026, Edinburgh, UK, co-orgnisers: J. Cohen (CNRS), V. Debarnot (INSA Lyon), A. Repetti (HW University).
Co-organiser (with the MIVA group) of the ERASMUS+ PhD summer school Mathematics & Machine Learning for Image Analysis, University of Bologna, June 9-17 2026.
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.
Lecturer (with C. Daniele and S. Sanna) of the PhD school Computational imaging & learning, July 27-31 2026, Facultad de Ingenieria, Montevideo, Uruguay.
Speaker at the workshop Optimization in the Länd, November 26-27 2026, Barockschloss Mannheim, DE.