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Welcome to the SIAM Student Chapter of the Department of Mathematics of University of the Pavia and the Institute of Applied Mathematics and Information Technologies “Enrico Magenes”!
What is a SIAM Student Chapter?
A SIAM Student Chapter is a student organization affiliated to the Society for Industrial and Applied Mathematics (SIAM) with the aim of promoting computational science and fostering interaction and collaboration among researchers and students from different departments, through various activities such as seminars, courses and meetings.
If you are a student at the University of Pavia, don't miss out on the opportunity to become a member, it's free and has many benefits!
For more information and how to become a member, click here.
Get in touch with us!
You can subscribe to our mailing list, by filling in the following Google Form.
Do you have an exciting idea for a seminar, course, or discussion? We encourage your participation! Submit your proposal using this Google Form or send us an email!
Email: siamstudentchapter@unipv.it.
Location: Department of Mathematics in Via Ferrata 5, Pavia
Photo by Domeian on Wikimedia Commons
Activities
Activities
Type: Informal seminar
Beginning: 8 October 2024.
Cadence: BI-weekly, every Tuesday from 13:00 to 14:00.
Organizers: Luca Pellegrini, Massimiliano Ghiotto.
Where: Aula Beltrami
Keywords: Machine Learning, Scientific Machine Learning, Artificial Intelligence.
MEET & MATH: KNOW US, ASK US
Type: Informal meeting with PhD students from the department of Mathematics
When: 6 October 2025, 11:00-14:00.
Where: Aula Beltrami
Organizers: Alessandro Gaviani, Armando Maria Monforte, Davide Terazzi, Horacio Tettamanti, Pasquale Andolfo, Riccardo Moraschi, Sofia Tonali.
Description: The PhD students of the Department of Mathematics invite you to Meet & Math: know us, ask us, an informal event designed to bring students and PhD candidates closer together and showcase ongoing research projects. It will also be a great chance to chat, ask questions, and discuss doubts about the Master’s degree or future career opportunities. We look forward to seeing you there!
Program:
11:00 – 11:30 – Short presentation of the PhD students and their activities
11:30 onwards – Informal discussion and Q&A with the PhD students, with refreshments provided!
In recent years, the combination of deep learning techniques and numerical methods has gained increasing interest as a research area in applied mathematics, especially in the approximation of PDEs. One promising paradigm that has emerged is operator learning. These innovative methodologies are crucial since traditional numerical methods face significant challenges with complex, high-dimensional PDEs that make them unfeasible for real-time simulation in real-world applications.
The goal of this workshop is to bring together researchers and practitioners who are currently working on this cutting-edge topic, fostering collaboration and knowledge exchange in this rapidly evolving field.
The registration is free of charge but it is mandatory on the workshop website.
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