This image shows Tim Brünnette

Tim Brünnette

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 60874

Pfaffenwaldring 5a
70569 Stuttgart
Room: 2.35

  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(3):21--54.

  2. 2024

    1. Nowak W, Brünnette T, Schalkers MA, Möller M. Overdispersion in gate tomography: Experiments and continuous, two-scale random walk model on the Bloch sphere. ACM Transactions on Quantum Computing [Internet]. 2024 Oct;5(4):1–17. Available from: https://doi.org/10.1145/3688857
    2. Bruennette T, Nowak W. Efficient Inference for Non-Deterministic Fractures. In: geoENV2024 Book of Abstracts. Chania, Crete, GR: Creative Commons Licence BY-NC-ND 4.0; 2024. p. 67--68. (geoENV2024 Book of Abstracts).

  3. 2023

    1. Bruennette T, Werneck L, Keip MA, Nowak W. Random Fracture Models - Towards Statistical Realism and Validation. In: Fall Meeting 2023. San Francisco, CA, USA: American Geophysical Union (AGU); 2023. (Fall Meeting 2023).
    2. Hermann F, Michalowski A, Brünnette T, Reimann P, Vogt S, Graf T. Data-Driven Prediction and Uncertainty Quantification of Process Parameters for Directed Energy Deposition. Materials [Internet]. 2023 Nov;16(23). Available from: https://www.mdpi.com/1996-1944/16/23/7308

  4. 2019

    1. Brünnette T, Santin G, Haasdonk B. Greedy Kernel Methods for Accelerating Implicit Integrators for Parametric ODEs. In: Numerical Mathematics and Advanced Applications - ENUMATH 2017. 2019. p. 889--896. (Numerical Mathematics and Advanced Applications - ENUMATH 2017).

08/2017 B.Sc. Simulation Technology, University of Stuttgart
11/2021 Double degree: M.Sc. Simulation Technology, University of Stuttgart & M.Sc. Industrial and Applied Mathematics, TU Eindhoven, Netherlands
Since 02/2022 PhD Student, Institute for Modelling Hydraulic and Environmental Systems, University of Stuttgart

Fracture networks in water systems
Stochastic processes

Project: Random Fracture Models - Towards Statistical Realism and Validation with SFB1313

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