M.Sc. Philipp Glaser

Phone: +49 711 81110509
Room: --
philipp.glaser <_at_> de.bosch.com

Predoc (delegated)

Office address/Post address

Engineering Mathematics and Computing Lab (EMCL)
Interdisciplinary Center for Scientific Computing (IWR)
Im Neuenheimer Feld 205
69120 Heidelberg (Germany)


Short Biography

After finishing my study of Engineering Cybernetics at the university of Stuttgart in May 2014, I entered the PhD program of the Robert Bosch GmbH and joined the "Engineering Mathematics and Computing Lab" directed by Prof. Dr. Vincent Heuveline as an external collaborator in May 2014. My research topic is in the field of uncertainty quantification.

Research Interests

Non-intrusive methods (Monte Carlo, Collocation methods, variants of Galerkin projection), intrusive methods, parameter identification, sensitivity analysis, hybride models, optimization.

Publications

P. Glaser, M. Schick, K. Petridis, V. Heuveline. Comparison between a Polynomial Chaos surrogate model and Markov Chain Monte Carlo for inverse Uncertainty Quantification based in an electric drive test bench. Proceedings on ECCOMAS Congress, VII European Congress on Computational Methods in Applied Sciences and Engineering, Volume 4, pages  8809-8826, 2016.

P. Glaser, K. Petridis, V. Heuveline. Adaptation and Enhancement of Generalized Polynomial Chaos for Industrial Applications. Proceedings on PAMM, Volume 15, Issue 1, pages 553–554, 2015.

Participations, conference contributions and talks

Philipp Glaser, Michael Schick. Uncertainty Quantification for Mechatronic Systems. Poster presented at International Symposium Machine Learning Callenges in Complexe Multiscale Physical Systems, TU Munich, Germany, January 9, 2017 to January 12, 2017.

Uncertainty Quantification Summer School, Berlin, Germany, September 12, 2016 to September 16, 2016.

P. Glaser, M. Schick, K. Petridis, V. Heuveline. Comparison between a Polynomial Chaos surrogate model and Markov Chain Monte Carlo for inverse Uncertainty Quantification based in an electric drive test bench. ECCOMAS Congress, VII European Congress on Computational Methods in Applied Sciences and Engineering, Crete Island, Greece, June 5, 2016 to June 10, 2016.

P. Glaser, K. Petridis, V. Heuveline. Uncertainty Quantification for an Industrial Application. SIAM Conference on Uncertainty Quantification 2016, Lausanne, Switzerland, April 5, 2016 to April 08, 2016 2nd International Conference on Uncertainty in Mechanical Engineering, Darmstadt, Germany, November 19, 2016 to November 20, 2016.

P. Glaser, K. Petridis, V. Heuveline. Uncertainty Quantification in an industrial context. Poster presented at 2nd GAMM AGUQ Workshop on Uncertainty Quantification, Chemnitz, Germany, September 10, 2015 to September 11, 2015.

P. Glaser, K. Petridis, V. Heuveline. Adaptation and Enhancement of Generalized Polynomial Chaos for Industrial Applications. GAMM 86th Annual Scientific Conference, Lecce, Italy, March 23, 2015 to March 27, 2015.

P. Glaser, K. Petridis, V. Heuveline. Uncertainty Quantification from an industrial point of view. Poster presented at eVITA Winter School on Uncertainty Quantification for Physical Phenomena, Geilo, Norway, January 18, 2015 to January 23, 2015.