Difference between revisions of "Ionut-Gabriel Farcas, M.Sc."
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* model hierarchies in uncertainty quantification | * model hierarchies in uncertainty quantification | ||
* Bayesian inverse problems | * Bayesian inverse problems | ||
| − | * computational physics | + | * uncertainty quantification in computational physics applications |
== Research Stays == | == Research Stays == | ||
Latest revision as of 01:35, 4 December 2019
Address:
- TU München
- Institut für Informatik
- Boltzmannstr. 3
- 85748 Garching b. München
- Office:
- MI 02.05.053
- Email:
- Phone:
- (089) 289 18 634
- Fax:
- (089) 289 18 607
- Office hours:
- by arrangement
Contents
Research Interests
- context-aware model reduction
- model hierarchies in uncertainty quantification
- Bayesian inverse problems
- uncertainty quantification in computational physics applications
Research Stays
- 07.05.2019 - 09.05.2019, Leibniz University of Hanover (with Prof. Thomas Wick)
- 01.03.2019 - 01.04.2019, Massachusetts Institute of Technology (with Prof. Youssef Marzouk)
- 11.09.2018 - 14.12.2018, Institute for Pure and Applied Mathematics, University of California at Los Angeles
- 15.03.2018 - 13.07.2018, University of Wisconsin at Madison (with Prof. Benjamin Peherstorfer)
Honours and awards
- 2019, Best poster award at SIAM Conference on Computational Science and Engineering 2019, Spokane, Washington, USA
- 2017, Best poster award at SIAM Conference on Computational Science and Engineering 2017, Atlanta, Georgia, USA
- 2015 - 2018, DAAD Doctoral Research Grant
- 2013 - 2015, DAAD Study Scholarship for Graduates
Travel grants
- SIAM Student Travel Award for SIAM Conference on Uncertainty Quantification 2018, Garden Grove, California, USA
Publications
Talks
Posters
Teaching
- Scientific Computing Lab WS 2019/20
- Algorithms for Uncertainty Quantification SS19
- Algorithms of Scientific Computing II WS2018/19
- Turbulent Flow Simulation on HPC-Systems WS2017/18
- Algorithms for Uncertainty Quantification SS2017
- Scientific Computing Lab WS 2016/17
- Turbulent Flow Simulation on HPC-Systems WS2016/17
- Seminar Uncertainty Quantification SS2016
