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SUMMARY:Imaging Seminar - Seeing the unseen: computational imaging across 
 applications
DTSTART:20261110T110000
DTEND:20261110T120000
DTSTAMP:20261023T081901Z
UID:a26fd2087632035e74c6a1aa242965aead124ea02a275be9df565e6e
CATEGORIES:Conferences - Seminars
DESCRIPTION:Luca Calatroni\, Associate Professor\, University of Genoa\, 
 Italy\nRegistration to attend in person\n\n\n\nAbstract: Computational ima
 ging combines mathematical modelling\, inverse problems\, optimisation\, a
 nd machine learning to recover information from indirect and noisy measure
 ments. In this seminar\, I will present recent research on physics-informe
 d reconstruction methods and learning-based approaches\, illustrating how 
 a common mathematical framework can address diverse imaging challenges. Ap
 plications will include reconstruction of ancient frescoes in cultural her
 itage\, computational models of vision for understanding geometric optical
  illusions\, and advanced reconstruction procedures for image deconvolutio
 n/super-resolution in advanced fluorescence microscopy\n\nBio: Prof. Luca
  Calatroni is an Associate Professor at the University of Genoa (DIBRIS)\
 , where he leads the Computational Imaging & Learning unit at the Machine 
 Learning Genoa Center (MaLGa). He received his PhD in applied mathematics 
 from the University of Cambridge in 2015. He then held postdoctoral positi
 ons in Genoa and at the École Polytechnique\, and was a CNRS researcher i
 n Sophia-Antipolis from 2019 to 2024. He is the PI of the ERC Starting Gra
 nt MALIN. His research is in mathematical imaging and inverse problems\, 
 at the meeting point of variational methods\, optimisation and machine lea
 rning. He is especially interested in learning-based reconstruction method
 s that stay interpretable and reliable because they keep the physics of th
 e acquisition process in the model. His work ranges from biomedical imagin
 g\, where he pushes the resolution limits of fluorescence microscopy and m
 edical scans\, to mathematical models of human vision and visual illusions
 \, and to the digital restoration of damaged artworks and ancient manuscri
 pts.\n\n
LOCATION:BC 420 https://plan.epfl.ch/?room==BC%20420
STATUS:CONFIRMED
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