M.Sc. Dustin Mühlhäuser
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by appointment
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Kollegiengebäude Mathematik (20.30)
3.012
+49 721 608 46972
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dustin.muehlhaeuser@kit.edu
- Doctoral Student
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Karlsruhe Institute of Technology (KIT)
Institute for Applied and Numerical Mathematics
Englerstr. 2
76131 Karlsruhe
Germany
Current List of Courses
In my PhD studies, I develop a multiscale method for the efficient simulation of solutions to the wave equation in strongly heterogeneous media, characterized by highly oscillatory coefficients in space and time. More precisely, I am developing a multiscale strategy in time and combine this method with a deep-learning approach to effectively approximate the spatial solutions. Topics of interest are included in but not restricted to:
- Multiscale methods, espec. the Linear Orthogonal Decomposition (LOD) method
- Deep Learning and it's applications to numerical methods
- Multifidelity methods for uncertainty quantification
Short CV:
- Since February 2025: PhD Student under the supervision of JProf. Roland Maier
- 2017-2024: Student of Mathematics at the University of Stuttgart, Thesis: Adaptive Bi-Fidelity Monte Carlo Estimation for Random Elliptic PDEs, Grade: very good with honors
- 2022: Exchange student at the University of Toronto, Canada, Grade: excellent
- 2021: Intern in Quantitative Risk Management at Mercedes Benz Bank, Stuttgart
- 2020: Working Student in Simulation of Passive Safety Systems at ZF, Alfdorf
- 2016: High school diploma, Schorndorf, Grade: very good, High school price from the German Physical Society