My approach consists in exploiting statistical properties, multiscale analysis, non-linear modelisation, the physical properties of the signals, in order to propose new ways to deal with multi-disciplinary problems. More generally, I seek to extract the most information out of experimental data, how these can be used to build better models and produce better predictions.
I currently work on data analysis for remote sensing of the environment. More precisely:
- A new method for improving the resolution of satellite images ;
- Detecting automatically the properties (e.g. caracteristic scales) and the hidden patterns in the signals.
I have previously worked on granular matter physics, for which I still maintain some collaborations. I have worked on the analysis of experimental signals (e.g. a new tomography method for measuring forces between each grain, in 3D), on the modelisation of granular packings (e.g. new model of interaction between grains), and I ran my own numerical simulations of granular flows.
Details on my main findings are given through the menu on the left. The full list of my publications is available on this page.
I am currently a permanent member of the Geostat team at INRIA Bordeaux (CR1). Remote sensing applications are researched with our collegues of the Indian Institute of Technology, with whom we have this shared project.
I am also involved with the following groups and projects:
- I worked at Duke University.
- I animated for a few years the Inter-disciplinary Research network on Complex Systems applied to the Environnement (RISC-E).
- I was on the board of the French association on Artificial Intelligence (AFIA).
I spent a few years in the space industry. In 2004 I decided to quit my job at EADS in order to start a PhD abroad. Since 2007 I am on teaching and research short post-doctoral contracts. More information can be found in my resume.