Omar M. Knio

According to our database1, Omar M. Knio authored at least 35 papers between 1997 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2020
A Bayesian Structural Time Series Approach for Predicting Red Sea Temperatures.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Regularity theory for time-fractional advection-diffusion-reaction equations.
Comput. Math. Appl., 2020

2019
Abnormal events detection using deep neural networks: application to extreme sea surface temperature detection in the Red Sea.
J. Electronic Imaging, 2019

Green's function of the screened Poisson's equation on the sphere.
CoRR, 2019

Trajectory planning for autonomous underwater vehicles in the presence of obstacles and a nonlinear flow field using mixed integer nonlinear programming.
Comput. Oper. Res., 2019

The State of the Art in Visual Analysis Approaches for Ocean and Atmospheric Datasets.
Comput. Graph. Forum, 2019

2018
Parallel Domain Decomposition Strategies for Stochastic Elliptic Equations Part B: Accelerated Monte Carlo Sampling with Local PC Expansions.
SIAM J. Sci. Comput., 2018

Parallel Domain Decomposition Strategies for Stochastic Elliptic Equations. Part A: Local Karhunen-Loève Representations.
SIAM J. Sci. Comput., 2018

Exploring the interplay of resilience and energy consumption for a task-based partial differential equations preconditioner.
Parallel Comput., 2018

Partial differential equations preconditioner resilient to soft and hard faults.
Int. J. High Perform. Comput. Appl., 2018

Optimal projection of observations in a Bayesian setting.
Comput. Stat. Data Anal., 2018

Risk-averse formulations and methods for a virtual power plant.
Comput. Oper. Res., 2018

2017
Discrete A Priori Bounds for the Detection of Corrupted PDE Solutions in Exascale Computations.
SIAM J. Sci. Comput., 2017

Nonintrusive Polynomial Chaos Expansions for Sensitivity Analysis in Stochastic Differential Equations.
SIAM/ASA J. Uncertain. Quantification, 2017

A resilient domain decomposition polynomial chaos solver for uncertain elliptic PDEs.
Comput. Phys. Commun., 2017

Particle Simulation of Fractional Diffusion Equations.
CoRR, 2017

2016
Sparse Pseudo Spectral Projection Methods with Directional Adaptation for Uncertainty Quantification.
J. Sci. Comput., 2016

Scalability of Partial Differential Equations Preconditioner Resilient to Soft and Hard Faults.
Proceedings of the High Performance Computing - 31st International Conference, 2016

Performance Scaling Variability and Energy Analysis for a Resilient ULFM-based PDE Solver.
Proceedings of the 7th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems, 2016

ULFM-MPI Implementation of a Resilient Task-Based Partial Differential Equations Preconditioner.
Proceedings of the ACM Workshop on Fault-Tolerance for HPC at Extreme Scale, 2016

2015
Fault Resilient Domain Decomposition Preconditioner for PDEs.
SIAM J. Sci. Comput., 2015

PC analysis of stochastic differential equations driven by Wiener noise.
Reliab. Eng. Syst. Saf., 2015

Probability Maps for the Visualization of Assimilation Ensemble Flow Data.
Proceedings of the 3rd Workshop on Visualisation in Environmental Sciences, 2015

2014
Preconditioned Bayesian Regression for Stochastic Chemical Kinetics.
J. Sci. Comput., 2014

2012
Uncertainty Quantification in MD Simulations. Part II: Bayesian Inference of Force-Field Parameters.
Multiscale Model. Simul., 2012

Uncertainty Quantification in MD Simulations. Part I: Forward Propagation.
Multiscale Model. Simul., 2012

Multiscale Stochastic Preconditioners in Non-intrusive Spectral Projection.
J. Sci. Comput., 2012

2011
Bayesian Inference of Atomic Diffusivity in a Binary Ni/Al System Based on Molecular Dynamics.
Multiscale Model. Simul., 2011

2010
Many Task Computing for modeling the fate of oil discharged from the Deep Water Horizon well blowout.
Proceedings of the 3rd Workshop on Many-Task Computing on Grids and Supercomputers, 2010

2007
Multi-Resolution-Analysis Scheme for Uncertainty Quantification in Chemical Systems.
SIAM J. Sci. Comput., 2007

A stochastic particle-mesh scheme for uncertainty propagation in vortical flows.
J. Comput. Phys., 2007

2005
Modeling Low Mach Number Reacting Flow with Detailed Chemistry and Transport.
J. Sci. Comput., 2005

2004
Natural Convection in a Closed Cavity under Stochastic Non-Boussinesq Conditions.
SIAM J. Sci. Comput., 2004

Numerical Challenges in the Use of Polynomial Chaos Representations for Stochastic Processes.
SIAM J. Sci. Comput., 2004

1997
Vortical Flow Outside a Sphere and Sound Generation.
SIAM J. Appl. Math., 1997


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