Cari Colleghi,

vi segnalo il seguente seminario della serie dei MOX COLLOQUIA:

09.11.25 ore 14:00 - Aula Consiglio, Edificio 14, Politecnico di Milano

Speaker: Mark Girolami, University of Cambridge, Department of Engineering and The Alan Turing Institute

Titolo: Statistical Finite Element Methods

Abstract: 
The finite element method (FEM) is one of the great triumphs of applied mathematics, numerical analysis and software development. Recent developments in sensor and signalling technologies enable the phenomenological study of complex natural and physical systems. The connection between sensor data and FEM has been restricted to solving inverse problems placing unwarranted faith in the fidelity of the mathematical description of the system under study. If one concedes mis-specification between generative reality and the FEM then a framework to systematically characterise this uncertainty is required. This talk will present a statistical construction of the FEM which systematically blends mathematical description with data observations by endowing the Hilbert space of FEM solutions with the additional structure of a Probability Measure. This initiative is part of the “Ph.D. Lectures” activity of the project "Departments of Excellence 2023-2027" of the Department of Mathematics of Politecnico di Milano. This activity consists of seminars open to Ph.D. students, followed by meetings with the speaker to discuss and go into detail on the topics presented during the talk.

Contatto: 
laura.sangalli@polimi.it

Il seminario sarà accessibile online:
https://mox.polimi.it/mox-colloquia-seminars-list/mox-seminars/?id_evento=2556
https://cassyni.com/events/LTNPwiAikdgXq3b4oMwNvR

Per seguire il seminario in streaming, è necessario iscriversi (gratuitamente) sulla piattaforma Cassyni.

Seguirà rinfresco presso il Dipartimento di Matematica.


Cordiali saluti,
Laura Sangalli


——
Laura Maria Sangalli
MOX - Dipartimento di Matematica
Politecnico di Milano
Piazza Leonardo da Vinci 32
20133 Milano - Italy
(+39) 02 2399 4554
laura.sangalli@polimi.it
https://sangalli.faculty.polimi.it