Sebastian Geyer, M.Sc.

Room: N3625

Phone: +49 89 289 23010

E-Mail: s.geyer@tum.de

Office hours: Wednesday 14:30-16:30

Curriculum Vitae

  • since 2017: Ph.D. student at the Engineering Risk Analysis Group, Technische Universität München
  • 2016 - 2017: Research Assistant at the Engineering Risk Analysis Group, Technische Universität München
  • 2014 - 2016: M.Sc. in Civil Engineering, Technische Universität München
  • 2010 - 2013: B.Sc. in Civil Engineering, Technische Universität München

Research

  • Bayesian updating of engineering models with spatially variable properties​
  • Reliability analysis in low/high dimensional spaces

Teaching

  • SS18: Teaching assistant for the lecture "Estimation of rare events and failure probabilities", TUM
  • SS17: Teaching assistant for the lecture "Advanced Stochastic Finite Element Methods", TUM
  • Since WS16/17: Teaching assistant for the lecture “Zuverlässigkeit und Lastannahmen”, TUM

Supervised theses/projects

  • Master's thesis: Emily Schran (in development) - Sequential importance sampling with a flexible mixture model
  • Bachelor's thesis: Michael Maier (2017) - The effects of stochastic loads on a structural model

Publications

  • Sebastian Geyer, Iason Papaioannou, Daniel Straub (2019). Cross entropy-based importance sampling using Gaussian densities revisited. Structural Safety, 76, 15-27
  • Sebastian Geyer, Iason Papaioannou, Claus Kunz, Daniel Straub (2018). Reliability assessment of large hydraulic structures including random fields and measurement data. 3rd International Conference on Vulnerability and Risk Analysis and Management (ICVRAM 2018); 7th International Symposium on Uncertainty Modelling and Analysis (ISUMA 2018); 4th International Symposium on Uncertainty Quantification and Stochastic Modeling (UNCERTAINTIES 2018). Florianopolis, Brazil
  • Sebastian Geyer, Iason Papaioannou, Daniel Straub (2017). On the efficiency of cross entropy-based importance sampling with Gaussian densities. 15th International Probabilistic Workshop & 10th Dresdner Probabilistik Workshop. Dresden, Germany
  • Sebastian Geyer, Iason Papaioannou, Daniel Straub (2017). Gaussian densities in the cross entropy method for reliability analysis. International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2017). Rhodes, Greece
  • Iason Papaioannou, Sebastian Geyer, Daniel Straub (2017). A new flexible mixture model for cross entropy based importance sampling. International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2017). Rhodes, Greece