| Leiter | ||||
|---|---|---|---|---|
| +49 (89) 289 - 16690 | p.s.koutsourelakis(at)tum.de | |||
| Wissenschaftliche Mitarbeiter | ||||
| +49 (89) 289 - 16692 | atul.agrawal(at)tum.de | Raum: 0438 | ||
| +49 (89) 289 - 15218 | matthaios.chatzopoulos(at)tum.de | Raum: 0436 | ||
| +49 (89) 289 - 15218 | vincent.scholz(at)tum.de | Raum: 0436 | ||
| +49 (89) 289 - 16692 | maximilian.stupp(at)tum.de | Raum: 0438 | ||
| yaohua.zang(at)tum.de | ||||
| Sekretariat | ||||
| +49 (89) 289 - 16691 | sigrid.harnauer(at)tum.de | |||
Alumni
- Sebastian Kaltenbach, "Physics-aware, probabilistic machine learning in the Small Data regime", Ph.D. 2023.
- Maximilian Rixner, "Physics-Informed and Data-Driven Probabilistic Modeling of Materials Systems", Ph.D. 2023.
- Luca Berardocco, "Hybridizable Discountinous Galerkin Methods for time-domain electromagnetic diffusion in underground strata formation", Ph.D. 2021.
- Markus Schöberl, "Probabilistic Machine Learning Strategies for Coarse-Graining of Molecular Dynamics at Equilibrium” , Ph.D., 2020.
- Constantin Grigo, "Physics-Aware, Bayesian Machine Learning Models for Uncertainty Quantification of High-Dimensional Systems in the Small Data Regime - Applications in Random Media” , Ph.D., 2020.
- Isabell Franck, "Sparse Variational Bayesian algorithms for large-scale inverse problems with applications in biomechanics", Ph.D., 2017.