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

Pfaffenwaldring 5a
70569 Stuttgart
Room: 2.35

  1. 2024 (submitted)

    1. Nowak W, Brünnette T, Schalkers M, Möller M. Overdispersion in gate tomography: Experiments and continuous, two-scale random walk model on the Bloch sphere. ACM Transactions on Quantum Computing.
    2. Kröker I, Brünnette T, Wildt N, Oreamuno MFM, Kohlhaas R, Oladyshkin S, et al. Bayesian Active Learning for Regularized Multi-Resolution Arbitrary Polynomial Chaos using Information Theory. International Journal for Uncertainty Quantification.
  2. 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
  3. 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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