Professor Alfio Quarteroni
Scientific machine learning and the iHEART simulator
Scientific machine learning and the iHEART simulator
Alfio Quarteroni is Professor of Numerical Analysis at the Politecnico of Milan (Italy) and Emeritus Professor at EPFL, Lausanne where he was Director of the Chair of Modelling and Scientific Computing from 1998 until the end of 2017. He is the founder of MOX at Politecnico of Milan (2002) and its first director (2002-2022), and the founder and first director of MATHICSE at EPFL (2010-2015). He is co-founder (and President) of MOXOFF, a spin-off company at Politecnico of Milan (2010).
He is a member of the Italian Academy of Science (Accademia Nazionale dei Lincei), the European Academy of Science, the Academia Europaea, the Lisbon Academy of Science, and the Italian Academy of Engineering and Technology.
According to Research.com n 2022 he was ranked n.48 worldwide, n.1 in Italy according to Top Mathematics Scientists 2022
https://research.com/scientists-rankings/mathematics
He is the author of 25 books, editor of 12 books, author of more than 400 papers published in international Scientific Journals and Conference Proceedings, member of the editorial board of 25 International Journals and Editor in Chief of two book series published by Springer.
He has been an invited or plenary speaker in more than 300 International Conferences and Academic Departments, he has been invited speaker at ICM 2002 in Beijing and plenary speaker at ICM 2006 in Madrid.
Among his awards and honours are the NASA Group Achievement Award for the pioneering work in Computational Fluid Dynamics in 1992, the Ghislieri prize, 2013, the International Galileo Galilei prize for Sciences 2015, The Euler lecture in 2017, the ECCOMAS Euler Medal 2022, the ICIAM Lagrange Prize 2023. He is the Recipient of two ERC Advanced Grants, Recipient of the Galileian Chair from the Scuola Normale Superiore, Pisa, Italy ,2001, doctor Honoris Causa in Naval Engineering from University of Trieste, Italy, 2003, SIAM Fellow (first row) since 2009, IACM (International Association of Computational Mechanics) Fellow since 2004, honorary member of ECMI. He has been a member of the Fields Medal Committee of 2022.
His research interests concern Mathematical Modelling, Numerical Analysis, Scientific Computing, and Application to fluid mechanics, geophysics, medicine, and the improvement of sports performance. His research Group at EPFL has contributed to the preliminary design of Solar Impulse, the Swiss long-range experimental solar-powered aircraft project; his research group at EPFL has carried out the mathematical simulation for the optimisation of performances of the Alinghi yacht, the winner of two editions (2003 and 2007) of the America’s Cup.
Scientific machine learning offers exciting and unexpected opportunities to improve upon traditional approaches rooted in physics-based mathematical modeling and numerical simulation. This presentation aims to delve into several effective paradigms for tackling complex problems, focusing in particular on the creation of a heart function simulator.