Doctoral student
EPFL-SB-MATH-MCSS
MA-C1-645
[email protected]
https://scholar.google.com/citations?user=sYo-KS4AAAAJ
Researchgate: https://www.researchgate.net/profile/Boris_Bonev
Biography
I hold degrees in Aerospace Engineering and Physics from the University of Stuttgart. During my Master studies I have specialized in the field of numerical simulation methods for fluid problems. I visited Prof. Hesthaven at EPFL in 2015 to work on my Master thesis. We worked on applying the Discontinuous Galerkin methods to the Shallow Water Equations in order to simulate large-scale Tsunami events such as the 2008 Tohoku tsunami. In February 2017 I joined MCSS as doctoral student. In my PhD thesis I study fast approximate solvers, that can be used as Preconditioners for wave problems.
Research interests
Applied Mathematics and Computational Physics, Numerical Methods for PDEs, Computational Linear Algebra, Hierarchical Matrices, Statistical/Machine Learning
Publications
Bonev, B., Hesthaven, J. S., Giraldo, F. X., & Kopera, M. A. (2018). Discontinuous Galerkin scheme for the spherical shallow water equations with applications to tsunami modeling and prediction. Journal of Computational Physics, 362, 425–448. http://doi.org/10.1016/j.jcp.2018.02.008
Hajihassanpour, M., Bonev, B., & Hesthaven, J. S. (2019). A comparative study of earthquake source models in high-order accurate tsunami simulations. Ocean Modelling, 141, 101429. http://doi.org/10.1016/j.ocemod.2019.101429
Prantl, L., Bonev, B., & Thuerey, N. (2019). Generating Liquid Simulations with Deformation-aware Neural Networks. ICLR 2019 Conference Proceedings. https://openreview.net/forum?id=HyeGBj09Fm