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Technische Universität München
Technische Universität München

Max Ehre, Dr.-Ing.

Room: N3625

Phone: +49 89 289 23010

E-Mail: max.ehre@tum.de

Office hours: by arrangement

Curriculum Vitae

  • Since 2022  | Postdoctoral researcher at the Engineering Risk Analysis Group, Technische Universität München
  • 2017 - 2022 | PhD student at the Engineering Risk Analysis Group, Technische Universität München
  • 2019 (Sept-Oct) | Visiting Researcher at the Chair of Risk, Safety and Uncertainty Quantification, ETH Zürich
  • 2019 (Feb-Apr) | Visiting Researcher at the Oden Institute for Computational Engineering and Sciences, UT Austin
  • 2014 - 2016 | M.Sc in Mechanical Engineering, ETH Zürich
  • 2010 - 2014 | B.Sc in Aerospace Engineering, Universität Stuttgart

Research

  • Bayesian model inversion, Bayesian updating of rare events
  • Surrogate modelling of high-dimensional computational models
  • Rare event probability estimation, reliability analysis
  • Probabilistic sensitivity analysis of model output and rare events
  • Sensitivity analysis of models with dependent inputs
  • Uncertainty quantification and separation of engineering models

Awards

2023                

1st place category Computer-aided modelling and manufacturing of the Hochschulpreis des Bayerischen Bauindustrieverbandes e.V.  for the dissertation Uncertainty quantification and separation with high-dimensional engineering models.

 

Selected Journal Publications

Invited Talks

  • Global reliability sensitivity analysis of models with dependent inputs using failure samples. 5th International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP), Athens, Greece, June 12, 2023.
  • Simulating rare events with Stein variational adaptive importance sampling. SIAM Conference on computational science and engineering, Amsterdam, Netherlands, March 3, 2023.
  • Gradient-free dimension reduction for uncertainty quantification in high-dimensional engineering models. CUQI seminar series at DTU Department of Applied Mathematics and Computer Science, Copenhagen, Denmark, November 28, 2022.
  • Certified dimension reduction for Bayesian updating with the cross-entropy method. 8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2022), Oslo, Norway, June 8, 2022. 
  • Sequential active learning of low-dimensional model representations for reliability analysis. Virtual talk at the SIAM Conference on uncertainty quantification, Atlanta, GA, USA, April 12, 2022.
  • Uncertainty Quantification & Separation - Supporting decisions with confidence. UC Berkeley Department of Civil and Environmental Engineering Seminar Series, Berkeley, US, March 1, 2022.
  • Estimating conditional failure probabilities with high-dimensional, computationally expensive models. Virtual talk at the 14th World Congress in Computational Mechanics and ECCOMAS Congress, 11-15 January 2021. 
  • Reliability analysis in the presence of multi-uncertainty. 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP), Crete, Greece, June 26, 2019.
  • Global sensitivity analysis in high dimensions with partial least squares-driven PCEs. 13th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP13), Seoul, South Korea, May 29, 2019.
  • Efficient estimation of variance-based reliability sensitivities in the presence of multi-uncertainty. 19th working conference of the IFIP Working Group 7.5 on Reliability and Optimization of Structural Systems (IFIP 2018). Zürich, Switzerland, June 28, 2018.
  • Sequential Designs of PLS-based PCE Surrogates for Reliability Analysis. SIAM Conference on uncertainty quantification, Garden Grove, California, April 19, 2018.

Teaching

  • Uncertainty quantification with surrogate models (Lecturer, since WS21/22, 3 ECTS, @TUM)
  • Stochastik und Risiko (TA, WS20/21, 6 ECTS, @TUM) 
  • Introduction to Data Analysis with MATLAB (Lecturer, SS18 + SS19, 2 ECTS, @TUM)
  • Stochastic Finite Element Methods (TA, WS 18/19, 6 ECTS, @TUM)
  • Stochastic Finite Element Methods I (TA, WS 17/18, 3 ECTS, @TUM)
  • Umweltmonitoring & Risikomanagement (TA, WS 17/18, 5 ECTS, @TUM)

Student projects supervised

  • Master thesis: Haotian Jin (2021) -  Computing Decision-oriented reliability sensitivity with neural networks
  • Master thesis: Rafael Flock (2021) -  Likelihood-informed Dimension Reduction for Bayesian Updating with the Cross-Entropy Method
  • Master thesis: Fong-Lin Wu (2020) -  Efficient learning of computationally expensive simulation models with very high-dimensional input spaces
  • Master thesis: Cesar Meyer-Christiani (2019) - Stochastic discounted cash flow analysis for valuation of a commercial real estate investment
  • Study project: Juan Rodriguez (2019) - Quantitative chemical risk assessment of water reuse
  • Master's thesis: Layla Assila (2018) - Stochastic modelling and uncertainty propagation for a class of hydraulic dam models (jointly with EDF, France)
  • Study project: Tobias Zeh (2018) - Uncertainty Propagation in a Wind Turbine Model - Comparison of two polynomial-based meta-models
  • Master's thesis: Felix Schneider (2017) - Bayesian identification of cross laminated timber plates using surrogate models (jointly with the Chair of Structural Mechanics)
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