Joshua Lampert
![lampert](https://assets.rrz.uni-hamburg.de/instance_assets/fakmin/36130636/joshua-lampert-180x240-73638bad0150279f5feacc100579fc8ed55df8fd.jpg)
Photo: J. Lampert
PhD Student
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Personal Information
Since October 2023, I am a PhD student within the Research Training Group 2583 “Modeling, Simulation and Optimization of Fluid Dynamics Applications”, in the project S1, under supervision of Prof. Dr. Armin Iske.
Research
- Theory of and numerical methods for hyperbolic conservation laws
- Kernel-based meshfree methods for partial differential equations
- Numerical analysis of finite volume and discontinuous Galerkin methods
- Structure-preserving discretization
- Summation-by-parts operators
- Dispersive wave equations
Conferences, Workshops and Scientific Talks
03.-07.06.2024
9th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS) 2024, Lisbon (PT), "Entropy-Stable Numerical Methods for Systems of Nonlinear Dispersive Wave Equations"
18.-22.03.2024
94th Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM) 2024, Magdeburg (GER), "Structure-Preserving Numerical Methods for Nonlinear Dispersive Wave Equations"
11.-13.03.2024
CSE Workshop on Modeling, Simulation & Optimization of Fluid Dynamic Applications 2024, Groß Schwansee (GER), "Structure-Preserving Numerical Methods for Nonlinear Dispersive Wave Equations"
16.-18.10.2023
Kompaktseminar Numerik 2023, Cochem (GER): "Structure-Preserving Numerical Methods for Dispersive Shallow Water Models"
Publications
Bartel, H., Lampert, J., Ranocha, H.: "Structure-Preserving Numerical Methods for Fokker-Planck Equations", preprint arXiv ( https://doi.org/10.48550/arXiv.2404.07641), 2024.
Lampert, J., Ranocha, H.: "Structure-Preserving Numerical Methods for Two Nonlinear Systems of Dispersive Wave Equations", preprint arXiv ( https://doi.org/10.48550/arXiv.2402.16669), 2024.
Teaching
- Wintersemester 2023/24: Numerische Mathematik (Exercise)
- Sommersemester 2023: Numerical Methods for PDEs – Galerkin Methods (Exercise)