Omar M. Knio
Affiliations: | Mechanical Engineering and Materials Science | Duke University, Durham, NC |
Area:
Mechanical Engineering, Applied MathematicsGoogle:
"Omar Knio"Children
Sign in to add trainee| Manav Vohra | grad student | 2015 | Duke |
| Justin G. Winokur | grad student | 2015 | Duke |
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Publications
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| Bounceur N, Hoteit I, Knio O. (2020) A Bayesian Structural Time Series Approach for Predicting Red Sea Temperatures Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13: 1996-2009 |
| Sanikommu SR, Toye H, Zhan P, et al. (2020) Impact of Atmospheric and Model Physics Perturbations on a High‐Resolution Ensemble Data Assimilation System of the Red Sea Journal of Geophysical Research. 125 |
| Langodan S, Antony C, Pr S, et al. (2020) Wave modeling of a reef-sheltered coastal zone in the Red Sea Ocean Engineering. 207: 107378 |
| Hantouche M, Sarathy SM, Knio OM. (2020) Global sensitivity analysis of n-butanol ignition delay times to thermodynamics class and rate rule parameters Combustion and Flame. 222: 355-369 |
| Boukaram W, Lucchesi M, Turkiyyah G, et al. (2020) Hierarchical matrix approximations for space-fractional diffusion equations Computer Methods in Applied Mechanics and Engineering. 369: 113191 |
| Lucchesi M, Allouch S, Maître OPL, et al. (2020) Particle simulation of space–fractional diffusion equations Computational Particle Mechanics. 7: 491-507 |
| Siripatana A, Maitre OL, Knio O, et al. (2020) Bayesian inference of spatially varying Manning’s n coefficients in an idealized coastal ocean model using a generalized Karhunen-Loève expansion and polynomial chaos Ocean Dynamics. 70: 1103-1127 |
| Li G, Curcic M, Iskandarani M, et al. (2019) Uncertainty Propagation in Coupled Atmosphere–Wave–Ocean Prediction System: A Study of Hurricane Earl (2010) Monthly Weather Review. 147: 221-245 |
| Lucchesi M, Alzahrani HH, Safta C, et al. (2019) A hybrid, non-split, stiff/RKC, solver for advection–diffusion–reaction equations and its application to low-Mach number combustion Combustion Theory and Modelling. 23: 935-955 |
| Wang T, Lima RM, Giraldi L, et al. (2019) Trajectory planning for autonomous underwater vehicles in the presence of obstacles and a nonlinear flow field using mixed integer nonlinear programming Computers & Operations Research. 101: 55-75 |