Kontakt
Pfaffenwaldring 5a
70569 Stuttgart
Raum: 2.33
2025
- Kröker I, Brünnette T, Wildt N, Oreamuno MFM, Kohlhaas R, Oladyshkin S, et al. Bayesian3 Active Learning for Regularized Multi-Resolution Arbitrary Polynomial Chaos using Information Theory. International Journal for Uncertainty Quantification. 2025 Jan;15:21–54.
2024 (submitted)
- Ejaz F, Wildt N, Wöhling T, Nowak W. Estimating total groundwater storage and its associated uncertainty through spatiotemporal Kriging of groundwater-level data. Journal of Hydrology.
2024
- Xu T, Xiao S, Reuschen S, Wildt N, Franssen H-JH, Nowak W. Towards a community-wide effort for benchmarking in subsurface hydrological inversion: benchmarking cases, high-fidelity reference solutions, procedure and a first comparison. Hydrology and Earth System Sciences [Internet]. 2024;28:5375–400. Available from: https://hess.copernicus.org/articles/28/5375/2024/
- Wildt N, Oladyshkin S. Learning Kinetic Sorption Mechanisms Using Ordinary Differential Arbitrary Polynomial Chaos Expansion. Tucson, Arizona, USA: 25th International Conference on Computational Methods in Water Resources (CMWR); 2024.
- Ejaz F, Wildt N, Wöhling T, Nowak W. Estimating catchment-wide total groundwater storage via space-time kriging provides calibration data for catchment-scale groundwater balance models. In: Geophys. Res. Abstr. Vienna: EGU General Assembly 2024; 2024.
2023
- Wildt N, Scheurer S, Nowak W, Haslauer C. Learning PFAS mechanisms with a FInite Volume Neural Network (FINN). In: Fall Meeting 2023. San Francisco, CA, USA: American Geophysical Union (AGU); 2023.
09/2017 B.Sc. Simulation Technology, Universität Stuttgart
04/2020 M.Sc. Simulation Technology, Universität Stuttgart
09/2020-01/2022 Wissenschaftlicher Mitarbeiter, Institut für Systemtheorie und
Regelungstechnik (IST), Universität Stuttgart
Seit 02/2022 Doktorand, Institut für Wasser- und Umweltsystemmodellierung,
Universität Stuttgart
Regressionslernen
Bayessche Statistik und Kalibrierung
Diffusions-Reaktions-Modellierung und Simulation