Mathieu Rigal


Welcome to my personal page!

After defending my thesis in November 2022, I have been working as a post-doctoral reasearcher from the team EDP et Physique mathématique at Institut de Mathématiques de Bordeaux (December 2022 -- November 2024), and as a member of the LJLL team at Sorbonne Université (since December 2024). My current research consists in an interdisciplinary project cosupervised by David Lannes and Philippe Bonneton, and was supported by different fundings (IMPT, ANR Bourgeons, ERC BLOC).

Between October 2019 and November 2022, I was a Ph.D. candidate at Sorbonne Université in the LJLL team. This work was supervised by Nina Aguillon, Nathalie Ayi and Jacques Sainte-Marie, and was funded by the DIM MathInnov. You can find the manuscript of the thesis on the HAL portal.

My research focuses on the design (based on PDE analysis), study and implementation of efficient numerical schemes for simulating complex geophysical flows with free surface and varying bathymetry. In particular I am interested in the following topics, all related to a depth-averaged model:

You can contact me at mathieu.rigal[AT]math.u-bordeaux.fr

Education

2019-2022
Ph.D. degree in applied mathematics, Sorbonne University

2016-2019
Engineering degree in applied mathematics and scientific computing (equivalent to a Master degree), Sup Galilée

2018-2019
Exchange semester at the Technical University of Munich

Publications

Published and accepted

Thesis manuscript

Talks and presentations

Conferences and workshops

Seminars Poster

A few slides:

Teaching (fr)

Code

BA_waves is a Matlab code allowing to simulate water waves with weakly dispersive effects as described by the Boussinesq-Abbott model. General boundary conditions are treated without the need for a sponge layer or the source function method, but instead involve a nonlocal flux and dispersive boundary layer. It also offers the possibility to deactivate the dispersive effects in part of the computational domain to better describe the breaking of waves with the hyperbolic shallow water system.

The program swimpy-1d provides solvers for the one dimensionnal shallow water system in a Python framework. It features explicit and implicit kinetic solvers alongside hydrostatic reconstruction for preserving the lakes at rest and the positivity.