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).

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News

• The ThermoSysPro website is online. ThermoSysPro is a Modelica library for modeling electricity generation plants. Have a look at the (brand new) online scientific documentation.

• Application deadline: 31th March 2021, for the EU funded PhD position in GREYDIENT project: “Machine learning and physical modelling interactions for vehicle batteries optimisation”.

• Phimeca Engineering and Principia will chair a special session for the 31st ESREL conference (19-23 September 2021) entitled: “Health monitoring and predictive maintenance of offshore systems”.

• Phimeca publish her new website. Get ready for the 20th birthday party!

• Next IMdR “Uncertainty and Industry” workshop, 25 February 2021: “Computer experiment with dynamical models”.

• 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).

• AFFIDA project on offshore wind turbine predictive maintenance is funded by the European Regional Development Fund.

Recent and upcoming talks

• 2020/12/08 – Périllat, Raphaël\(^*\), S. G. & I. Korsakissok λμ22, [🗎 get paper], “Solutions rapides pour la prévision des risques de pollution atmosphérique”.

• 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”.

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Content

• Publications
  • Articles
  • Longer texts
  • Talks & proceedings
• Research projects
  • AFFIDA, predictive maintenance tool for offshore wind turbines
  • Thesis “Machine learning and physical modelling interactions for vehicle batteries optimisation” (GREYDIENT project)
    • Objectives
    • Expected results
    • Secondments
    • Subject
  • Auto-associative models for pollutants atmospheric dispersion (MADiPA)
  • Uncertainty quantification and sensitivity analysis of soil pollution & remediation models (QUASPER)
  • Large scale Modelica models (Modeliscale)
    • Links
  • Agility and Design Margins (AMC)
• Events
  • Special session at ESREL 2021: “Health monitoring and predictive maintenance of offshore systems”
  • IMdR “Uncertainty and Industry” workshops
  • Academics−Engineers Gatherings
• Job offers
  • Thesis “Machine learning and physical modelling interactions for vehicle batteries optimisation”