This image shows Michael Sinsbeck

Michael Sinsbeck

Dr.-Ing.

Postdoc
Institute for Modelling Hydraulic and Environmental Systems (LS3/SimTech)

Contact

+49 711 685 60119

Business card (VCF)

Pfaffenwaldring 5a
D-70569 Stuttgart
Room: 2.01

  1. 2021

    1. González-Nicolás A, Schwientek M, Sinsbeck M, Nowak W. Characterization of export regime in discharge-concentration plots via an advanced time-series model and event-based sampling. Water. 2021;13:1723.
  2. 2020 (accepted)

    1. Sinsbeck M, Cook E, Nowak W. Sequential Design of Computer Experiments for the Computation of Bayesian Model Evidence. SIAM Journal of Uncertainty Quantification.
  3. 2020

    1. Sinsbeck M, Höge M, Nowak W. Exploratory-phase-free estimation of GP hyperparameters in sequential design methods - at the example of Bayesian inverse problems. Frontiers in Artificial Intelligence, section AI in Food, Agriculture and Water. 2020;3(52):1–16.
    2. Gonzalez-Nicolas Alvarez A, Nowak W, Sinsbeck M, Schwientek M. Characterize the catchment regime by applying optimal monitoring strategies. In: EGU General Assembly Conference Abstracts. 2020. p. 4843. (EGU General Assembly Conference Abstracts).
  4. 2019

    1. González-Nicolás A, Nowak W, Sinsbeck M, Schwientek M. Optimal scheduling and event-based sampling: development and demonstration for investigating the nitrate characteristics of a headwater catchment. In: General Assembly 2019, Geophysical Research Abstracts: EGU2019-964, 2019. Vienna, Austria: European Geosciences Union (EGU); 2019. (General Assembly 2019, Geophysical Research Abstracts: EGU2019-964, 2019).
  5. 2017

    1. Sinsbeck M, Nowak W. Sequential Design of Computer Experiments for the Solution of Bayesian Inverse Problems. In Weimar, Germany: 88th GAMM Annual Meeting; 2017.
  6. 2016

    1. Sinsbeck M, Nowak W. Sequential Design of Computer Experiments for the Solution of Bayesian Inverse Problems. In Lausanne, Switzerland: SIAM Conference on Uncertainty Quantification; 2016.
  7. 2015

    1. Sinsbeck M, Tartakovsky D. Impact of data assimilation on cost-accuracy tradeoff in multifidelity models. SIAM/ASA Journal of Uncertainty Quantification. 2015;3(1):954–68.
    2. Sinsbeck M, Nowak W. An optimal sampling rule for nonintrusive polynomial chaos expansions of expensive models. International Journal for Uncertainty Quantification. 2015;5(3):275–95.
    3. Sinsbeck M, Tartakovsky D. Impact of Data Assimilation on Cost-Accuracy Tradeoff in Multi-Fidelity Models at the Example of an Infiltration Problem. In: General Assembly 2015, Geophysical Research Abstracts 17: EGU2015-11902, 2015. Vienna, Austria: European Geosciences Union (EGU); 2015. (General Assembly 2015, Geophysical Research Abstracts 17: EGU2015-11902, 2015).
  8. 2014

    1. Sinsbeck M, Nowak W. Adaptive Sampling for Bayesian Updating with Non-Intrusive Polynomial Chaos Expansions. In Savannah, Georgia, USA: SIAM Conference on Uncertainty Quantification; 2014.
  9. 2012

    1. Sinsbeck M. Adaptive grid refinement for two phase flow in porous media. Institute for Modelling Hydraulic and Environmental Systems, Universität Stuttgart. Diploma Thesis. 2012.

03/2012 - 09/2016 Phd Student, Institute for Modelling Hydraulic and Environmental Systems, University of Stuttgart
Since 01/2017 Postdoc, Institute for Modelling Hydraulic and Environmental Systems, University of Stuttgart

Uncertainty quantification and Bayesian Inverse Problems for computationally expensive simulations

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