Ionut-Gabriel Farcas, M.Sc.: Difference between revisions
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'''Address:''' | '''Address:''' | ||
: TU München | : TU München |
Revision as of 22:26, 3 March 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
Research Interests
- multilevel and multifidelity methods for uncertainty quantification
- Bayesian inverse problems
- adaptive sparse grid approximations for forward and inverse uncertainty quantification
- reduced models for uncertainty quantification
Research Stays
- 01.03.2019 - 01.04.2019, Massachusetts Institute of Technology (with 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 Benjamin Peherstorfer)
Honours and awards
- 2019, Best poster award at SIAM Conference on Computational Science and Engineering 2019, Spokane, Washington, USA
- 2018, Finalist for the award "Romanian student of the year at graduate and post-graduate level"
- 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
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Talks
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Posters
<pubsccs3 pubid=670479 person="Farcas" type="dt-poster|dt-konferenzbeitrag" postfilter="type=dt-konferenzbeitrag ~ contribution-type=Poster"/>
Teaching
- 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
Students
<pubsccs>noheader=1&lang=en&betreuerid=109</pubsccs>