The Team approach to research will be bottom-up: starting from new ideas and concepts to address both existing (known) and emerging (anticipated or not) problems. The later point, concerning the emerging problems, is particularly important in a quickly evolving research area with the constant improvement of the methodological and computational capabilities. The research thrust will be structured along two principal directions: a methodological axis and an applications axis.
UQ methodologies & tools
The Team will continuously work on developing original UQ representations and algorithms to deal with complex and large-scale models, having high dimensional input parameters with complexes influences. We plan to organize our core research activities along different methodological UQ developments:
- Surrogate modeling for UQ
- Uncertainty, modeling, information theory & inference
- Multi-fidelity & optimization under uncertainty
- HPC & UQ problems
Engineering applications
The Team will work on solving UQ problems with industrial interests. Specifically, we have industrial and academic partnerships, with active projects and contracts, in the following domains:
- Atmospheric reentry of space objects
- Robust design of ORC turbines for renewable energy sources
- Predictive simulation of complex flows in nuclear reactors
- Uncertainty & inference in geosciences
International relations:
Remi Abgrall, Professor, University of Zurich, Switzerland
Anne Bourdon, Research Director, LPP Lab, Ecole Polytechnique
Antonio Ghidoni, Professor, University of Brescia, Italy
Alberto Guardone, Professor, Politecnico di Milano, Italy
Ibrahim Hoteit, Professor, King Abdullah University of Science and Technology, KSA
Gianluca Iaccarino, Professor, Stanford University
Omar Knio, Professor, King Abdullah University of Science and Technology, KSA
Thierry Magin, Professor, Von Karman Institute, Belgium
Paul Mycek, Researcher (CR), Cerfacs, France
Giacomo Persico, Professor, Politecnico di Milano, Italy
Industrial relations
ArianeGroup
Bañulsdesign
BRGM
CEA
