Michael Obersteiner, M.Sc.

Michael Obersteiner

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

• S. Shenoy: Towards Non-blocking Combination Schemes in the Sparse Grid Combination Technique
  Master's thesis, Fakultät für Informatik, CSE, since December 2017
• D. Boschko: Generalization and Parallelization of Sherman-Morrison System Matrix Updates for Sparse Grid Density Estimation
  IDP, Fakultät für Informatik, Informatics, since February 2018
• S. Griebel: Implementation of the dimension-adaptive Combination Technique into a parallel Framework
  IDP, Fakultät für Informatik, Informatics, since March 2018
• P. Zetterer: Comparison of Different Cluster Analysis Algorithms Using Radio Measurement Data of Public Mobile Networks
  Master's thesis, Fakultät für Informatik, Automotive Software Engineering, since April 2018
• T. Bellebaum: Evaluation of different time-synchronization schemes for the Combination Technique
  Bachelor's thesis, Fakultät für Informatik, Informatics, since May 2018
• H. Moeller: Dimension-wise Spatial-adaptive Refinement with the Sparse Grid Combination Technique
  Bachelor's thesis, Fakultät für Informatik, Informatics, since June 2018

Finished Student Projects

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• 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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