Sylvain Girard¶

I lead the “Reliability & Uncertainty” team at Phimeca Engineering Paris.

We use data science and numerical simulation to help designing, operating and maintaining industrial system safely and efficiently.

My main research interest are

Uncertainty modelling, in particular of spatio-temporal phenomena. Applications include pollution diagnosis and forecast, and health monitoring of industrial systems.
Dimension reduction and function approximations.
System scale modelling (also known as 0D/1D in some engineering comunities).

News¶

Maéva Caillat joined our team on december 2020. Welcome Maéva!
Antoine Lesieur will take on the MADiPA postdoc in March 2021 (Modèles Auto-associatifs pour la Dispersion de Polluants dans l’Atmosphère – Phimeca & Inria).
Up to 55 participants showed up at the 2nd Academics−Engineers Meeting. The speakers did a great job at delivering high level yet accessible talks. Have a look at Saisir le mouvement : décrire et inférer la dynamique des systèmes.
AFFIDA project on offshore wind turbine predictive maintenance is funded by the European Regional Development Fund.
EU will fund the thesis I proposed for the GREYDIENT project : “Machine learning and physical modelling interactions for vehicle batteries optimisation”.
QUASPER project on soil pollution (Phimeca, Burgeap, Lorraine Univ.) is funded by ADEME (GESIPOL call).

2020/12/08 – Périllat, Raphaël\(^*\), S. G. & I. Korsakissok λμ22, “Solutions rapides pour la prévision des risques de pollution atmosphérique” → See the replay.
2020/11/26 – Gerrer, Claire-Eleuthèriane\(^*\) & S. G. NAFEMS’20 on numerical simulation [🗎 get slides], “Health monitoring using statistical learning and digital twins”.
2020/03/02 – Rencontres INRIA LJLL en calcul scientifique [🗎 get slides], “Réduction de dimension avec des modèles auto-associatifs”.