If you are interested in doing a Semester or a Master project @ CSQI, please don’t hesitate to contact us.
Here is a list (incomplete) of topics for the spring semester 2026:
- Kernel methods for operator learning
- Uncertainty analysis of a gas-bearing rotordynamics model
- Dynamical Low-Rank filters enhanced by localization/inflation
- Hyperreduction techniques for projection-based reduced-order models
- Bayesian parameter estimation for partially observed diffusion processes via MLMC
- Dimensionality reduction via Poincaré-constant estimation for sampling and optimization
- Gaussian Process Regression with arbitrary linear observations: theory and implementation in Julia
- Comparative Study of Non-Intrusive Reduced-Order Models for Nonlinear PDEs