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27 posts

Professor Alfio Quarteroni has been awarded the ECCOMAS Ritz-Galerkin Medal 2024 !!

Alfio Quarteroni has been awarded the ECCOMAS Ritz-Galerkin Medal 2024. The Ritz-Galerkin Medal,  awarded every four years, is the highest award given by the European Association for Computational Methods in Applied Sciences (ECCOMAS), honoring individuals who have made outstanding, sustained contributions in the field of computational methods in applied sciences over periods representing substantial […]

FIS Starting Grant awarded to Andrea Manzoni

Andrea Manzoni has been awarded a FIS Starting Grant for his proposal on Deep Learning for the real-time approximation of partial differential equations (DREAM). Launched with a first call in 2021, the Italian Science Fund (FIS) aims at promoting the development of fundamental research on the model of ERC – […]

Agresti Prize 2024 awarded to Prof. Francesca Ieva

The Italian Society of Statistics (SIS) awarded Prof. Francesca Ieva the “Award to Young Scholars for Contributions to Statistical Disciplines”, 2024 edition, with the following motivation: “The prize committee proposed to award the prize for the year 2024 to SIS member Francesca Ieva, whose broad scientific production stands out for its […]

The Oden-Hughes Award Winner (2022-2023)

The paper “A comprehensive and biophysically detailed computational model of the whole human heart electromechanics” authored by M. Fedele, R. Piersanti, F. Regazzoni, M. Salvador, P. C. Africa, M. Bucelli, A. Zingaro, L. Dede, and A. Quarteroni has been recognized with the prestigious Oden-Hughes Award for the best paper published […]

A study by MOX published in Nature Communications

The paper “Learning the intrinsic dynamics of spatio-temporal processes through Latent Dynamics Networks,” signed by Francesco Regazzoni, Stefano Pagani, Matteo Salvador, Luca Dede’ and Alfio Quarteroni, has been published in the prestigious journal Nature Communications. The study concerns a new Operator Learning method in space-time, which allows non-intrusive learning of the […]