Gil Robalo Rei, M.Sc.
Contact
- Room 1228
- Email: gil.rei@tum.de
- Phone: +49 (0) 89 289 15240
- Fax: +49 (0) 89 289 15301
Research Interests
- Uncertainty Quantification
- Bayesian Methods
- Inverse Problems
Articles in peer-reviewed international journals
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Hervas-Raluy S., Wirthl B., Enrique Guerrero P., Robalo Rei G., Nitzler J., Coronado E., Font de Mora J., Schrefler B. A., Gomez-Benito M. J., Garcia-Aznar J. M., Wall W.A. (2023), Tumour growth: An approach to calibrate parameters of a multiphase porous media model based on in vitro observations of Neuroblastoma spheroid growth in a hydrogel microenvironment, Computers in Biology and Medicine, 106895. doi:10.1016/j.compbiomed.2023.106895
Supervised student projects / theses
- D. Michalke: Simulationsgestützte Topologieoptimierung von Festkörperelektrode, Research Internship, 2023 (supervised together with Christoph Schmidt)
- D. Still: Adjoint based Bayesian Inference of Random Fields with Hamiltonian Monte Carlo Samplers, Master's Thesis, 2023 (supervised together with Maximilian Dinkel)
- J. Schätz: Comparison of Multifidelity Methods for Uncertainty Quantification, Term Paper, 2022
- K. Eberl: Implementation of a Classifier for Solver Convergence, Visualization Lab, 2022
- B. Goderbauer: Runtime VTU Field Visualization in QUEENS, Visualization Lab, 2022
- P. Jakobs: Surrogate-based uncertainty quantification in all-solid-state batteries, Bachelor's Thesis, 2022
- M. Dinkel: Investigations of a Mesh-Free Kernel Based Solution Strategy for Nonlinear PDEs, Master's Thesis, 2022 (supervised together with Jonas Nitzler)
Education
- Since 2021 Research Associate at the Institute for Computational Mechanics (Lehrstuhl für Numerische Mechanik), Technische Universität München, Germany
- 2021 Master of Science (M.Sc.), Mechanical Engineering, Technische Universität München, Germany
- 2018 Bachelor of Science (B.Sc.), Mechanical Engineering, Technische Universität München, Germany