Emily Mo-Hellenbrand, M.Sc.: Difference between revisions
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* [http://invasic.informatik.uni-erlangen.de/en/index.php Transregional Collaborative Research Centre 89 - Invasive Computing]: | * [http://invasic.informatik.uni-erlangen.de/en/index.php Transregional Collaborative Research Centre 89 - Invasive Computing]: | ||
: Deutsche Forschungsgemeinschaft ([http://www.dfg.de/en/ DFG]) funded. Collaboration between [http://www.fau.de/ Universität Erlangen-Nürnberg], [http://www.kit.edu/english/ Karlsruhe Institute of Technology] and [http://www.tum.de/en/homepage/ Technische Universität München]. | : Deutsche Forschungsgemeinschaft ([http://www.dfg.de/en/ DFG]) funded. Collaboration between [http://www.fau.de/ Universität Erlangen-Nürnberg], [http://www.kit.edu/english/ Karlsruhe Institute of Technology] and [http://www.tum.de/en/homepage/ Technische Universität München]. | ||
== Publications == | |||
<pubsccs>noheader=1&lang=en&persid=103&utypid=1010,1020,1030,1070,2010,2020,2030,2040,2050,2070,2080,3010,3020,3030,3040</pubsccs> | |||
== Conference Talks == | == Conference Talks == |
Revision as of 13:52, 20 April 2017
- Address:
- Technische Universität München
- Institut für Informatik, Lehrstuhl 5
- Boltzmannstr. 3
- 85748 Garching b. München
Office: MI 02.05.057
Email:
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.
Publications
<pubsccs>noheader=1&lang=en&persid=103&utypid=1010,1020,1030,1070,2010,2020,2030,2040,2050,2070,2080,3010,3020,3030,3040</pubsccs>
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
- Scientific Computing Lab - WS14
- Hauptseminar Computational Aspects of Machine Learning - WS14
- CSE Seminar Case Studies - WS14