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Technical University of Munich
Technical University of Munich

Felix Schneider M.Sc.

Room:

N1149

Phone:

+49 (0) 89 289 28393

Fax:

+49 (0) 89 289 28665

E-Mail:

felix.w.schneider [at] tum.de

Office Hours:

Tuesday 3 - 5 pm

Thursday 3 - 5 pm upon request

Curriculum Vitae

March-May 2023 Research Stay at the Chair of Risk, Safety and Uncertainty Quantification, ETH Zürich
since 2018 Research and teaching associate at the Chair of Structural Mechanics, TU München
May-October 2018 Research assistant at the chair of Engineering Risk Analysis, TU München
2018 Master of Science (M.Sc.), TU München
2016 Exchange semester, Norwegian University of Science and Technology, Trondheim
2011 - 2018 Studies of Civil Engineering at TU München
2009 Abitur at Humboldtgymnasium Solingen

Fields of Research

  • Uncertainty quantification in acoustic and structural dynamics models
  • Surrogate models in the frequency domain
  • Bayesian updating

Awards

  • Maurer Söhne prize for excellent master thesis in the field of Technical Dynamics

Teaching

Courses in the current semester:

  • Introduction to Random Vibration

Courses in the previous semesters:

Thesis proposals

Currently I have no open theses projects. If you're interested in our research, feel free to contact me to discuss possible thesis topics.

Matlab Toolbox for Rational Polynomial Chaos Expansion

We publish a toolbox for handling and computing rational PCE surrogate models on our LRZ-Git-repository.

Journal Publications

  • Scholl, M.; Passek, M.; Lainer, M.; Schneider, F.; Taddei, F.; Müller, G.: Data-based localisation methods using simulated data with application to small-scale structures. Archive of Applied Mechanics, 2023 more… BibTeX Full text ( DOI ) Full text (mediaTUM)
  • Schneider, F.; Papaioannou, I.; Straub, D.; Winter, C.; Müller, G.: Bayesian parameter updating in linear structural dynamics with frequency transformed data using rational surrogate models. Mechanical Systems and Signal Processing 166, 2022 more… BibTeX Full text ( DOI )
  • Schneider, F.; Papaioannou, I.; Müller, G.: Sparse Bayesian Learning for Complex‐Valued Rational Approximations. International Journal for Numerical Methods in Engineering, 2022 more… BibTeX Full text ( DOI ) Full text (mediaTUM)
  • Schneider, F.; Papaioannou, I.; Ehre, M.; Straub, D.: Polynomial chaos based rational approximation in linear structural dynamics with parameter uncertainties. Computers & Structures 233, 2020, 106223 more… BibTeX Full text ( DOI )

Conference contributions

  • Felix Schneider, Iason Papaioannou, Bruno Sudret, Gerhard Müller: Bayesian Model Updating for Frequency Domain Data Using Active Learning Based Sparse Bayesian Rational Polynomial Chaos Surrogates. SIAM Conference on Uncertainty Quantification (UQ24), 2024 more… BibTeX
  • Felix Schneider, Iason Papaioannou, Bruno Sudret, Gerhard Müller: An Active Learning Approach Using Rational Function Approximations for Maximum A-Posteriori Estimation. 5th International Conference on Uncertainty Quantification in Computational Sciences and Engineering, 2023 more… BibTeX
  • Felix Schneider, Iason Papaioannou, Bruno Sudret, Gerhard Müller: An Active Learning Approach Using Rational Function Approximations for Bayesian updating. XII International Conference on Structural Dynamics, 2023 more… BibTeX
  • Schneider, F.; Papaioannou, I.; Straub, D.; Müller, G.: Investigation of complex-valued correlation models for model updating with spatially distributed data. 15th World Congress on Computational Mechanics & 8th Asian Pacific Congress on Computational Mechanics, 2022 more… BibTeX
  • Schneider, F.; Papaioannou, I.; Straub, D.; Müller, G.: Sparse Bayesian rational approximation for uncertainty quantification of structural dynamic models. International Conference on Uncertainty in Structural Dynamics 2022, 2022, 4943-4957 more… BibTeX
  • Schneider, F.; Papaioannou, I.; Straub, D.; Müller, G.: Sparse Bayesian Learning of Rational Function Approximations to Structural Dynamic Models. 4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering, 2021 more… BibTeX
  • Schneider, F.; Papaioannou, I.; Straub, D.; Müller, G.: Sparse Bayesian learning for linear structural dynamic models. 14th World Congress in Computational Mechanics and ECCOMAS Congress, 2021 more… BibTeX
  • Schneider, F.; Papaioannou, I.; Straub, D.; Müller, G.: Investigation of likelihood and correlation in bayesian analysis with frequency response data. XI International Conference on Structural Dynamics , 2020Eurodyn 2020 more… BibTeX
  • Schneider, F.; Papaioannou, I.; Ehre, M.; Winter, C.; Straub, D.; Müller, G.: Bayesian updating in structural dynamics with rational surrogate models. 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, 2019 more… BibTeX
  • Winter, C.; Schneider, F.; Müller, G.: Modeling Aspects of Energy Flow Analysis applied to Timber Structures. DAGA, 201844. Jahrestagung für Akustik more… BibTeX

Talks

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