Wouter Edeling from my group will organise a Semester Programme on Uncertainty Quantification for High-Dimensional Problems, which will take place in Fall 2024 at Centrum Wiskunde & Informatica (Amsterdam). This is a great opportunity to connect with the international community and learn more about recent developments in the field. The program will feature an autumn school (7-11 October), a workshop (11-15 November) and hybrid seminars.
The organizers are Peter Coveney (UvA/University College London), Richard Dwight (TU Delft), Wouter Edeling (CWI), Olga Mula (TU Eindhoven), Laura Scarabosio (Radboud University).

My group has been organising a very successful CWI Semester Programme on Scientific Machine Learning.  You can find most of the material here. Here’s a quick overview of our main events:

Autumn School, October 9-13

Industry & Society, November 23

Workshop, December 6-8

Seminar++: throughout the program

Poster

The future of computational science lies in the combination of physical modelling and data-driven techniques. In my research group at CWI, the Scientific Computing group, we develop new methods and algorithms that enable the transition to truly predictive models. For this purpose, we work at the intersection of different disciplines: uncertainty quantification, partial differential equations and discretization methods, computational fluid dynamics, machine learning, reduced-order modeling, and Bayesian inference.

The models that we develop are applied to a variety of (industrial) applications: for example, sloshing of liquid natural gas in tanker ships, aeroelastic predictions for wind turbines, and transport of multiphase flow in pipelines. Our work also forms an enabler for recent techniques such as Digital Twins.

Sloshing of liquid simulated with smoothed particle hydrodynamics. Courtesy of Yous van Halder.