- 1
- 1
- 1
- 1
Didier Lucor
CNRS research director and Deputy Director of the LISN lab on Paris-Saclay university campus in Orsay
100%
Libre accès
4
Documents
Affiliations actuelles
- 1061259
- 1055806
Identifiants chercheurs
- didier-lucor
- 0000-0003-4334-4586
- Google Scholar : https://scholar.google.com/citations?user=qCVFS6AAAAAJ&hl=en
- IdRef : 150876017
Présentation
Currently a research director at the French National Research Agency (CNRS) and deputy director of the LISN lab on Paris-Saclay campus in Orsay, France. I'm a member of the DATAFLOT (DAta science, TrAnsition, FLuid instabiLity, contrOl & Turbulence) research group of the Mechanical Engineering department. I received my PhD (2004) in Applied Math. from Brown University; was a postdoctoral fellow (2004-2005) in the dpt of Ocean Eng at MIT. My research interests relate to stochastic modeling and computational mechanics, with emphasis on: physics-informed statistical learning, reduced-order modeling, uncertainty quantification, data assimilation, sensitivity analysis and robust optimization.
Applications in computational mechanics range from turbulence modeling, heat transfer, flow-structure interaction problems to biomechanics, environmental flows and fluid mechanics related to the energy sector.
Publications
- 2
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 2
- 2
- 1
- 2
- 1
- 4
- 4
- 4
- 3
- 1
|
A graph clustering approach to localization for adaptive covariance tuning in data assimilation based on state-observation mappingMathematical Geosciences, 2021, ⟨10.1007/s11004-021-09951-z⟩
Article dans une revue
meteo-02460851v2
|
|
Error covariance tuning in variational data assimilation: application to an operating hydrological modelStochastic Environmental Research and Risk Assessment, 2021, ⟨10.1007/s00477-020-01933-7⟩
Article dans une revue
hal-02992507v1
|
|
Background Error Covariance Iterative Updating with Invariant Observation Measures for Data AssimilationStochastic Environmental Research and Risk Assessment, 2019, 33, pp.2033-2051
Article dans une revue
hal-02307657v1
|
|
Iterative methods for improving error covariance modeling in variational assimilationInternational Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019), Manolis Papadrakakis; Vissarion Papadopoulos; Georgios Stefanou, Jun 2019, Crete, Greece
Communication dans un congrès
hal-02397315v1
|