Emily Mo-Hellenbrand, M.Sc.: Difference between revisions

From Sccswiki
Jump to navigation Jump to search
No edit summary
Line 58: Line 58:
=== Winter 15/16 ===
=== Winter 15/16 ===
* [http://www5.in.tum.de/wiki/index.php/Scientific_Computing_Lab_-_Winter_15 Scientific Computing Lab - WS15]
* [http://www5.in.tum.de/wiki/index.php/Scientific_Computing_Lab_-_Winter_15 Scientific Computing Lab - WS15]
=== Summer 16 ===
* [http://www5.in.tum.de/wiki/index.php/Algorithms_for_Scientific_Computing_-_Summer_16 Algorithms for Scientific Computing - Summer 16]
* [http://www5.in.tum.de/wiki/index.php/Bachelor/Master-Praktikum:_Future_Trends_in_High_Performance_Computing_-_Summer_16 Bachelor/Master-Praktikum: Future Trends in High Performance Computing - Summer 16]
* [http://www5.in.tum.de/wiki/index.php/Future_Trends_in_Computing_-_Summer_16 Future Trends in Computing Seminar - Summer 16]


[[Category:Chair]]
[[Category:Chair]]

Revision as of 12:18, 7 April 2016

Error creating thumbnail: Unable to save thumbnail to destination
Address:
Technische Universität München
Institut für Informatik, Lehrstuhl 5
Boltzmannstr. 3
85748 Garching b. München


Office: MI 02.05.057

Email: Hellenbrmail.png

Phone: (089) 289 18 630

Fax: (089) 289 18 607

Office Hours: by arrangement


Student projects / Hiwi projects available. Contact for details.



Short CV

  • 2005-2007: Bachelor of Engineering in Electrical Engineering - Microelectronics, Stony Brook University (State University of New York), United States
  • 2007-2010: Applications Developer, JPMorgan Chase, New York, United States
  • 2011-2013: Master of Science in Computational Science and Engineering (CSE), Technical University of Munich, Germany
  • 2014-present : Research associate / PhD candidate, Chair of Scientific Computing in Computer Science (SCCS), Technical University of Munich, Germany

Research Interests

  • High performance computing (HPC). Invasive computing. Hardware/Resource-aware programming.
  • Hyperbolic problems. Finite volume methods. Tsunami/weather/climate simulations.
  • Inverse problems. Bayesian inference. Machine learning/data mining.
  • Model order reduction. Sparse grids.
  • Fault-tolerant applications.

Research Projects

Deutsche Forschungsgemeinschaft (DFG) funded. Collaboration between Universität Erlangen-Nürnberg, Karlsruhe Institute of Technology and Technische Universität München.

Conference Talks

<pubsccs>noheader=1&nocaption=1&lang=en&persid=103&utypid=1120,2090,3070</pubsccs>

Student Projects

<pubsccs>betreuerid=103&nocaption=1&lang=en</pubsccs>

Teaching

Winter 14/15

Summer 15

Winter 15/16

Summer 16

Retrieved from "https://www5.in.tum.de/wiki/index.php?title=Emily_Mo-Hellenbrand,_M.Sc.&oldid=19919"