Research

Main research interests in UQ/ML:

• Rare event simulation techniques
• Robust approaches for risk-based decision-making under uncertainty (conformal prediction, statistical decision, validation)
• Global sensitivity analysis (importance measures) for UQ and eXplainable & interpretable AI (XAI)
• Kernel techniques (for sensitivity analysis and sampling)

Main applications of interest:

• Risk assessment of nuclear power plants (thermal-hydraulic accident scenarios)
• Hybrid prognostics for clogging of steam generators
• Survival analysis, degradation modeling and maintenance optimization of repairable hydroelectric components
• Quantification of environmental uncertain data in wind energy

Publications & Communications

You can also find them on my Google Scholar profile!

Preprints

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Peer-reviewed articles (HAL and ArXiv versions may not be up to date)

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Proceedings

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Manuscript(s)

• PhD Thesis
  • Title: ``Reliability-oriented sensitivity analysis under probabilistic model uncertainty - Application to aerospace systems’’
  • Advisors: Nicolas Gayton, Jérôme Morio, Mathieu Balesdent, Jean-Marc Bourinet
  • Defended on November, 26th, 2018 (manuscript)
  • Jury: Dr. Bertrand Iooss (Rev.), Pr. Carsten Proppe (Rev.), Pr. Béatrice Laurent-Bonneau (Exam.), Pr. Bruno Sudret (Pdt.), Pr. Christian Gogu (Guest)

Communications (talks and posters)

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