Olivier Le Maitre
Visiting Academic-Professor
olivier.lemaitre^+kaust.edu.sa|http://perso.limsi.fr/Individu/olm/
Research Interests
- Development of numerical methods for the analysis of models parametric uncertainties; in particular stochastic spectral methods and multi-resolution schemes with associated solvers and algorithms for Galerkin and non-intrusive methods.
- Application of these methods to complex flow models, system of conservation equations, elliptic problems and reactive systems.
Selected Publications
- O. Le Maître and O. Knio, Stochastic Spectral Methods for Uncertainty Quantication with Applications to Computational Fluid Dynamics, Series on Scientific Computation, Springer, 520 pages, (2010).
- J. Tryoen, O. Le Maître and A. Ern, Adaptive Anisotropic Spectral Stochastic Methods for Uncertain Scalar Conservation Laws, SIAM J. Sci. Comp.,34:5, pp. 2459-2481, (2012).
- A. Alexanderian, O.P. Le Maître, H.N. Najm, M. Iskandarani and O.M. Knio, Multiscale stochastic preconditionners in non-intrusive spectral projection, J. Scientific Computing, 50:7, pp. 306-340, (2012).
- J. Tryoen, O. Le Maître, M. Ndjinga and A. Ern, Intrusive Galerkin Methods with Upwinding for Uncertain Nonlinear hyperbolic systems, J. Computational Physics, 228:18, pp. 6485-6511, (2010).
- O.P. Le Maître, L. Mathelin, O.M. Knio and M.Y. Hussaini, Asynchronous Time Integration for Polynomial Chaos Expansion of Uncertain Periodic Dynamics, Discrete and Continuous Dynamical Systems, 28:1, pp. 199-226,(2010).
Education Profile
- PhD, Le Havre, France, 1998
- Habilitation, Université d'Evry, France, 2006.
Professional Profile
- Professor Université d'Evry, France (1998-2007)
- CNRS Researcher, LIMSI, France (2007-2011)
- CNRS Research Director, LIMSI, France (2011-Pres.)
Scientific and Professional Memberships
- CNRS Research Director, LIMSI, France (2011-Pres.)
- CNRS Researcher, LIMSI, France (2007-2011)
- Professor Université d'Evry, France (1998-2007)
Affiliations
- LIMSI-CNRS, Orsay, France
- Duke University, Mechanical Engineering and Materials Science Department