email : florian.faucher@inria.fr
Tel : +33 5 40 17 51 54
Florian Faucher is now at the Faculty of Mathematics at the University of Vienna, see his personal webpage:
https://ffaucher.gitlab.io/cv/
My research interest focuses on computational inverse problems for the identification of physical parameters, using mathematical tools to design efficient algorithms, in particular, for subsurface Earth imaging with the Full-Waveform Inversion (FWI) method. FWI relies on an iterative minimization of the difference between surface measurements and wave simulations to reconstruct the subsurface physical parameters.
I also develop High Performance Computing software for the time-harmonic inverse wave problem, using mpi and OpenMP parallelism.
For the list of publications, see https://team.inria.fr/magique3d/team-members/florian-faucher/publications/.
For my CV, see https://team.inria.fr/magique3d/team-members/florian-faucher/cv/
Time-harmonic Inverse Wave problems using quantitative methods
- Convergence analysis of least-squares minimization problems.
- Conditional stability for the inverse boundary value problem.
- Subsurface reconstruction using the Full-Waveform Inversion method.
- Reciprocity Waveform Inversion for dual-sensor data.
- Large-scale optimization algorithms and implementation.
- Efficient model parametrization.
- Consideration of acoustic, elastic and TTI media with attenuation.
- High-Performance Computing.
- Inverse scattering for obstacle reconstruction.
Helioseismology
- Atmospheric conditions
Forward problem
- Hybridizable discontinuous Galerkin method for discretization.
Software development
- I am currently developing an open-source toolbox for quantitative time-harmonic inverse problems, using Hybridizable Discontinuous Galerkin discretization with mpi and OpenMP parallelism. Contact me for the latest updates.
- ffwi: software developed in the Depth Imaging Partnership between Inria and Total E&P. It uses the Full Waveform Inversion method for seismic imaging with time-harmonic waves (acoustic, elastic, TTI); currently deployed by Total E&P in Houston.
Illustration of subsurface reconstruction