Michael Obersteiner, M.Sc.: Difference between revisions
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* F. Hofmeier: '''Applying the Spatially Adaptive Combination Technique to Uncertainty Quantification''' Bachelor's Thesis, Fakultät für Informatik, Informatics, since May 2019 | * F. Hofmeier: '''Applying the Spatially Adaptive Combination Technique to Uncertainty Quantification''' Bachelor's Thesis, Fakultät für Informatik, Informatics, since May 2019 | ||
* S. Hingst: '''Shared Memory Parallelization of the Sparse Grid Combination Technique''' Bachelor's Thesis, Fakultät für Informatik, Informatics, since June 2019 | |||
=== Finished Student Projects === | === Finished Student Projects === | ||
Revision as of 08:55, 26 June 2019
Address:
- TU München
- Institut für Informatik
- Boltzmannstr. 3
- 85748 Garching b. München
- Office:
- MI 02.05.043
- Email:
- Phone:
- (089) 289 18 636
- Fax:
- (089) 289 18 607
- Office Hours:
- by arrangement
Research interests
- Molecular Dynamics
- HPC
- Combination technique
- Sparse Grids Methods
- Machine Learning
Student Projects
Open Hiwi Positions
Developing a testing-framework for the distributed combination technique:
- In this Hiwi position students create and manage an automatic test environment using Jenkins within Gitlab. In addition the existing code will be extended by several unit tests to facilitate the code development. Good C++ knowledge is advised and testing experience would be helpful.
Workload: around 8h/week
Open Student Projects
see: https://www5.in.tum.de/wiki/index.php/Projects_in_Sparse_Grids_and_High_Dimensional_Approximation
You can also come to my office and discuss possible topics.
Running Student Projects
- D. Boschko: Generalization and Parallelization of Sherman-Morrison System Matrix Updates for Sparse Grid Density Estimation
IDP, Fakultät für Informatik, Informatics, since February 2018 - V. Haller: Evaluation of dimension-wise Error Estimates with the Spatially Adaptive Combination Technique
Bachelor's Thesis, Fakultät für Informatik, Informatics, since January 2019
- F. Hofmeier: Applying the Spatially Adaptive Combination Technique to Uncertainty Quantification Bachelor's Thesis, Fakultät für Informatik, Informatics, since May 2019
- S. Hingst: Shared Memory Parallelization of the Sparse Grid Combination Technique Bachelor's Thesis, Fakultät für Informatik, Informatics, since June 2019
Finished Student Projects
<pubsccs3 pubid=670479 advisor="Obersteiner" type=dt-thesis sort=-year />
- F. Schwaiger: Simulation eines Dammbruchszenarios
MSE research project, MSE, November 2017
Teaching
- Übungsleitung Numerisches Programmieren, WiSe 2017/18
- Übungsleitung Numerisches Programmieren, SoSe 2017
- Tutor Diskrete Strukturen, WiSe 2016/2017
Tutor for many years in Numerical Programming
Publications
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Talks
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