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Nils Wildt

M.Sc.

PhD Student
Institute for Modelling Hydraulic and Environmental Systems
Dept. of Stochastic Simulation and Safety Research for Hydrosystems, SimTech

Contact

+49 711 685 60109

Pfaffenwaldring 5a
70569 Stuttgart
Room: 2.33

  1. 2025

    1. 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.

  2. 2024 (submitted)

    1. 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.

  3. 2024

    1. 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/
    2. 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.
    3. 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.

  4. 2023

    1. 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, University of Stuttgart
04/2020 M.Sc. Simulation Technology, University of Stuttgart
09/2020-01/2022 Scientific Assistant, Institute for Systems Theory and Automatic Control (IST), University of Stuttgart
Since 02/2022 PhD Student, Institute for Modelling Hydraulic and Environmental Systems, University of Stuttgart

Regression learning
Bayesian statistics and calibration
Diffusion-Reaction modeling and simulation

Project: Learning Mechanisms of Phenomena from Observations

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