Méthodes Numériques pour les EDP 2 (Numerical methods for PDEs 2)
M2 Master course at the Université de Strasbourg → Moodle course
Numerical resolution techniques for engineering (TP)
M1 Master course at the Université de Strasbourg
Implicit-Explicit Runge-Kutta time integration methods
Mini-course at the University of Verona

Numerical resolution techniques for engineering (TP), Winter term 2023/2024
M1 Master course at the Université de Strasbourg

Master students

Pauline Bonnet, (M2 ENS Paris-Saclay Computer science), with P. Helluy (UniStra) and A. Chargueraud (Inria CAMUS) funded by ANR-22-CE25-0017 OptiTrust, 2025.
Topic: Design of Source-to-Source Transformations for Optimizing Numerical Fluid Simulations
Oussama Bouhenniche, (M2 CSMI), funded by ITI/IRMIA++, 2025.
Topic: Asymptotic and structure preserving numerical schemes for atmospheric flow equations
Antoine Regardin, (M1 CSMI), co-advisor E. Franck, 2024.
Topic: Self-Adaptive-Theta (SATh) schemes applied to scalar hyperbolic PDEs and the RIPA model
Jérémy Pawlus, (M1 CSMI) project co-advisor V. Michel-Dansac and internship, 2023.
Topic: Introduction to finite volume methods on unstructured grids: application to the Euler equations and implementation in Julia

Komi Joseph Beni Assigbe, Oussama Bouhenniche, (M2 CSMI), co-advisor V. Michel-Dansac, 2024-2025.
Topic: Well-balanced schemes for the Shallow-water equations with application to tsunami or flooding events.
Adama Dieng, Chahid Rahouti, (M2 CSMI), 2024-2025.
Topic: Structure-preserving integration methods for ODEs with Hamiltonian structure.
Antoine Regardin, (M1 CSMI), co-advisor E. Franck, 2024.
Topic: Self-Adaptive-Theta (SATh) schemes applied to scalar hyperbolic PDEs and the RIPA model
Jérémy Pawlus, (M1 CSMI), co-advisor V. Michel-Dansac and internship, 2023.
Topic: Introduction to finite volume methods on unstructured grids: application to the Euler equations and implementation in Julia

Teaching