Omar Knio
Professor, Applied Mathematics and Computational Science ,
Deputy Director, SRI -Center for Uncertainty Quantification
Computer, Electrical and Mathematical Science and Engineering Division
Affiliations
Education Profile
- Ph.D. Mechanical Engineering, Massachusetts Institute of Technology, USA, 1990
- S.M. Mechanical Engineering, Massachusetts Institute of Technology, USA, 1986
- B.E. in Mechanical Engineering, American University of Beirut, Lebanon, 1984
Research Interests
Professor Knio’s research interests include uncertainty quantification, Bayesian inference, computational fluid mechanics, combustion, oceanic and atmospheric flows, turbulent flow, physical acoustics, energetic materials, microfluidic devices, dynamical systems, asymptotic techniques, multi-resolution methods, high-performance computing, optimization under uncertainty, and data-enabled predictive science.Selected Publications
- F. Rizzi, R. Jones, B.J. Debusschere, O.M. Knio “Uncertainty quantification in MD simulations of concentration driven ionic flow through a silica nanopore. Part II: uncertain potential parameters.” J. Chem. Phys. 138, 194105, 2013.
- I. Sraj, M. Iskandarani, A. Srinivasan, W.C. Thacker, J. Winokur, A. Alexanderian, C.-Y. Lee, S.S. Chen, O.M. Knio “Bayesian Inference of Dependence of Drag Coefficient on Wind Speed using AXBT data from Typhoon Fanapi.” Mon. Wea. Rev. 141, 2347-2367, 2013.
- L. Alawieh, T.P. Weihs, O.M. Knio “A Generalized Reduced Model of Uniform and Self- Propagating Reactions in Reactive Nanolaminates.” Combust. Flame 160, 1857-1869, 2013.
- A. Alexanderian, J. Winokur, I. Sraj, A. Srinivasan, M. Iskandarani, W.C. Thacker, O.M. Knio “Global Sensitivity Analysis in Ocean Global Circulation Models: A Sparse Spectral Projection Approach,” Comput. Geosci. 16, 757-778, 2012.
- O.P. Le Maître, O.M. Knio, Spectral Methods for Uncertainty Quantification – With Applications to Computational Fluid Dynamics , Springer, 2010.