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¶

AFFIDA project on offshore wind turbine predictive maintenance is funded by the European Regional Development Fund.
Recruitment at Inria reopens post COVID: MADiPA project (Modèles Auto-associatifs pour la Dispersion de Polluants dans l’Atmosphère – Phimeca & Inria) is hiring a post-doc (⭳ job-offer)
EU will fund the thesis I proposed for the GREYDIENT project : “Machine learning and physical modelling interactions for vehicle batteries optimisation”.
Next meeting of the IMdR working group “Incertitudes et Industrie” will take place on November 5 2020. Topic : Uncertainty in pollutions diagnosis.
QUASPER project on soil pollution (Phimeca, Burgeap, Lorraine Univ.) will be funded by ADEME (GESIPOL call).
Our annual seminar is re-scheduled to November 25 2020: Saisir le mouvement : décrire et inférer la dynamique des systèmes. Secure your seat by email!

2020/11/26 – Gerrer, Claire-Eleuthèriane\(^*\) & S. G. NAFEMS’20 on numerical simulation, “Health monitoring using statistical learning and digital twins”.
2020/10/12-15 – Périllat, Raphaël\(^*\), S. G. & I. Korsakissok λμ22, “Solutions rapides pour la prévision des risques de pollution atmosphérique”
2020/05/28 – 13th International Workshop on Rare-Event Simulation. Postponned to 2021.
2020/03/30 – SIGMA’2020. Cancelled.
2020/03/02 – Rencontres INRIA LJLL en calcul scientifique [🗎 get slides], “Solutions rapides pour la prévision des risques de pollution atmosphérique”.
2020/02/14 – GDT ANGE @ INRIA