Sylvain Girard¶

I lead the “Reliability & Robustness” 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¶

“Mathematics up against it”: the 4th Researcher–Engineer Gathering will be held on 17th November 2022 at IHP. Book your seat or propose a talk here : https://seminaire.phimeca.com/.
May 2022 – The next Uncertainty & Industry (IMdR) workshop : “Return of experience, knowledge management and modelling”, detailed program and registration.
April 2022 – Valentin Pibernus joined the MADiPA project to break the locks towards generalisation of this results, aiming for a robust non-linear extension of principal component analysis (PCA).
Jan. 2022 – My teamate Raphaël Périllat recently showed me this stunning picture:

Left: atmospheric dispersion simulation with IRSN pX model. Right: low dimension approximation by an auto-associative model (this a test simulation, absent from the training sample).

2022/10/05 – MATHIAS Days 2022 “The Living Digital Twin: 3 factors to get beyond the hype” [🗎 get slides].
2022/08/22–2022/09/03 – International Association for Mathematical Geology 21th annual conference (Nancy), “Accounting for uncertainties in soil pollution simulation by metamodeling”, poster presented by Raphaël Périllat.
2022/06/24 – Uncertainty & Industry (IMdR) workshop: “Return of experience, knowledge management and modelling” [🗎 get slides].
2022/05/09 – Workshop «Python in Modelica» (Paris ; Phimeca, EDF, Naval Group, Air Liquide, ArcelorMittal, CEA/ENSAM) [🗎 get slides].
2022/04/15 – Journée du GST Mécanique et Incertain de l’AFM ; inscription), à l’ENSAM (Paris), “Industrialiser le jumeau numérique – Application à la maintenance prévisionnelle d’un compresseur d’air” [🗎 get slides].
2022/01/21 – Intervention lors de la semaine pédagogique du département, IMI à l’École Nationale des Ponts, “Modéliser les risques et aléas en grande dimension” [🗎 get slides].