Kontakt
Pfaffenwaldring 61
70569 Stuttgart
Deutschland
Raum: 1.011
Sprechstunde
Nur nach Vereinbarung
Abitur
2016 in Kirchheim unter Teck
Akademische Grade
2021: B.Sc. in Simulation Technology, Universität Stuttgart
2023: M.Sc. in Simulation Technology, Universität Stuttgart
Akademischer Werdegang
seit August 2023: akademische Mitarbeiterin (Doktorandin) im SFB 1313, Institut für Wasser- und Umweltsystemmodellierung, Universität Stuttgart
Publikationen
- Kröker, I., Brünnette, T., Wildt, N., Oreamuno, M. F. M., Kohlhaas, R., Oladyshkin, S., & Nowak, W. (2025). Bayesian3 Active Learning for Regularized Multi-Resolution Arbitrary Polynomial Chaos using Information Theory. International Journal for Uncertainty Quantification, 15, Article 3. https://doi.org/10.1615/Int.J.UncertaintyQuantification.2024052675
- Kohlhaas, R., Hommel, J., Weinhardt, F., Class, H., Oladyshkin, S., & Flemisch, B. (2025). Numerical Investigation of Preferential Flow Paths in Enzymatically Induced Calcite Precipitation Supported by Bayesian Model Analysis. Transport in Porous Media, 152, Article 12.
- Kohlhaas, R., Hommel, J., Weinhardt, F., Class, H., Oladyshkin, S., & Flemisch, B. (2025). Numerical Investigation of Preferential Flow Paths in Enzymatically Induced Calcite Precipitation Supported by Bayesian Model Analysis. Transport in Porous Media, 152, Article 12. https://doi.org/10.1007/s11242-025-02240-x
- Kohlhaas, R., Kröker, I., Oladyshkin, S., & Nowak, W. (2023). Gaussian active learning on multi-resolution arbitrary polynomial chaos emulator: concept for bias correction, assessment of surrogate reliability and its application to the carbon dioxide benchmark. Computational Geosciences, 27, Article 3. https://doi.org/10.1007/s10596-023-10199-1
Aktuelle Forschungsprojekte
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SFB 1313, D03: Entwicklung und Durchführung von Validierungs-Benchmarks
Laufzeit: 01/2018 - 12/2029
Abteilung: LH2 und LS3
Leitung: Bernd Flemisch, Sergey Oladyshkin
Finanzierung: DFG