Mitarbeiter
| Leiter | ||||
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| Koutsourelakis, Faidon-Stelios; Prof. Dr. | +49 (89) 289 - 16690 | p.s.koutsourelakis@tum.de |
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| Wissenschaftliche Mitarbeiter | ||||
| Agrawal, Atul | +49 (89) 289 - 16692 | atul.agrawal@tum.de | Raum: 0438 |
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| Chatzopoulos, Matthaios | +49 (89) 289 - 15218 | matthaios.chatzopoulos@tum.de | Raum: 0436 |
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| Scholz, Vincent; Dipl.-Ing. | +49 (89) 289 - 15218 | vincent.scholz@tum.de | Raum: 0436 |
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| Stupp, Maximilian; M.Sc. | +49 (89) 289 - 16692 | maximilian.stupp@tum.de | Raum: 0438 |
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| Zang, Yaohua | yaohua.zang@tum.de |
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| Sekretariat | ||||
| Harnauer, Sigrid | +49 (89) 289 - 16691 | sigrid.harnauer@tum.de |
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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.