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Dr Simone Parisotto is a Research Associate in the Mathematics for Applications in Cultural Heritage (MACH) research group, part of the Cambridge Image Analysis research group at the University of Cambridge, UK. He completed the PhD degree in Applied Mathematics in 2019 at the Cambridge Centre for Analysis (EPSRC DTC for the University of Cambridge, UK). Before that, he received the BSc and the MSc degree in Mathematics at the University of Verona (IT).

His main research interests are within image processing, anisotropic diffusion, variational methods, deep learning, numerical analysis and optimisation for inverse problems (image inpainting, in particular). He currently focuses on heritage challenges and code development for heritage laboratories and museums: within the Unveiling the Invisible Leverhulme Trust project (PI Prof Carola-Bibiane Schönlieb), he actively collaborates with the Fitzwilliam Museum in the virtual restoration of illuminated manuscripts, the Faculty of Classics in the clustering of Roman pottery fragments and the Hamilton Kerr Institute in the clustering of cross-sections from paintings.

He regularly serves as reviewer for international journals and conferences and he is part of the editorial team of the Artificial Intelligence and Arts interest group at the Alan Turing Institute

Beyond academic activities, he enjoys analog photography, film processing and darkroom printing.

Useful links

Personal website

Mathematics for Applications in Cultural Heritage

Google Scholar




Research Group

Cambridge Image Analysis