Affiliations

• Applied Mathematics and Computational Science

Education Profile

• Doctor of Philosophy (Ph.D) Mechanical Engineering, Massachusetts Institute of Technology, United States, 1990
• Master of Science (M.S) Mechanical Engineering, Massachusetts Institute of Technology, United States, 1986
• Bachelor of Engineering (B.Eng.) 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.