Tutorial on modeling physical problems with AI using PINNs and PhysicsNeMo (September 10, 2025, SFU)
Charles Cheung, NVIDIA AI Technology Center HK
Modeling physical problems with AI using PINNs and PhysicsNeMo
In this tutorial, we will walk through the basic of AI methodology such as Physics Informed Neural Network (PINNs), Neural Operator, etc for solving physical problems. i.e., PDE problem. We will introduce PhysicsNeMo, an SDK for training PINNs and other AI model. A few cases study such as Simulating the Projectile Motion ODE and Forecasting Weather using Navier Stoke equation will be discussed.

PIMS Marsden Memorial Lecture (October 24, 2024, UC Merced)
Anil Hirani, University of Illinois at Urbana-Champaign
A Friendly Introduction to Calculus and Geometry on Meshes and Graphs
I will begin with some memories of how Jerry Marsden was as an advisor. In addition to the clarity and creativity of his mathematical thought, what has remained in my memory are his generosity with ideas, kindness as a human being, and his hands-on approach in the many research discussions we had. I will next introduce discrete exterior calculus (DEC) which got its start with Jerry. The remainder of the talk will be about our recent generalization of DEC to vector bundle valued forms using which I will demonstrate the basic ideas of differential geometry on simplicial complexes. I will describe all the ideas using simple examples to make the talk accessible.