Omar M. Knio

According to our database, Omar M. Knio authored at least 49 papers between 1997 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Data Assimilation in Chaotic Systems Using Deep Reinforcement Learning.

Mohamad Abed El Rahman Hammoud, Naila Raboudi, Edriss S. Titi, Omar M. Knio, Ibrahim Hoteit

CoRR, 2024

2023

Finite Element Discretizations for Variable-Order Fractional Diffusion Problems.

Wenyu Lei, George Turkiyyah, Omar M. Knio

J. Sci. Comput., October, 2023

Visualization and Visual Analytics Approaches for Image and Video Datasets: A Survey.

Shehzad Afzal, Sohaib Ghani, Mohamad Mazen Hittawe, Sheikh Faisal Rashid, Omar M. Knio, Markus Hadwiger, Ibrahim Hoteit

ACM Trans. Interact. Intell. Syst., March, 2023

Semantic Segmentation of Mesoscale Eddies in the Arabian Sea: A Deep Learning Approach.

Mohamad Abed El Rahman Hammoud, Peng Zhan, Omar Hakla, Omar M. Knio, Ibrahim Hoteit

Remote. Sens., March, 2023

Downscaling Using CDAnet Under Observational and Model Noises: The Rayleigh-Benard Convection Paradigm.

Mohamad Abed El Rahman Hammoud, Edriss S. Titi, Ibrahim Hoteit, Omar M. Knio

CoRR, 2023

2022

Risk-Averse Stochastic Programming vs. Adaptive Robust Optimization: A Virtual Power Plant Application.

Ricardo M. Lima, Antonio J. Conejo, Loïc Giraldi, Olivier P. Le Maître, Ibrahim Hoteit, Omar M. Knio

INFORMS J. Comput., 2022

Continuous and Discrete Data Assimilation with Noisy Observations for the Rayleigh-Benard Convection: A Computational Study.

Mohamad Abed El Rahman Hammoud, Olivier LeMaitre, Edriss S. Titi, Ibrahim Hoteit, Omar M. Knio

CoRR, 2022

Enhanced Simulation of the Indian Summer Monsoon Rainfall Using Regional Climate Modeling and Continuous Data Assimilation.

Srinivas Desamsetti, Hari Prasad Dasari, Sabique Langodan, Yesubabu Viswanadhapalli, Raju Attada, Thang M. Luong, Omar M. Knio, Edriss S. Titi, Ibrahim Hoteit

CoRR, 2022

H2Opus: a distributed-memory multi-GPU software package for non-local operators.

Stefano Zampini, Wajih Halim Boukaram, George Turkiyyah, Omar M. Knio, David E. Keyes

Adv. Comput. Math., 2022

Efficient SST prediction in the Red Sea using hybrid deep learning-based approach.

Mohamad Mazen Hittawe, Sabique Langodan, Ouadi Beya, Ibrahim Hoteit, Omar M. Knio

Proceedings of the 20th IEEE International Conference on Industrial Informatics, 2022

2021

Sample average approximation for risk-averse problems: A virtual power plant scheduling application.

Ricardo M. Lima, Antonio J. Conejo, Loïc Giraldi, Olivier P. Le Maître, Ibrahim Hoteit, Omar M. Knio

EURO J. Comput. Optim., 2021

Space-Fractional Diffusion with Variable Order and Diffusivity: Discretization and Direct Solution Strategies.

Hasnaa Alzahrani, George Turkiyyah, Omar M. Knio, David E. Keyes

CoRR, 2021

A second-order accurate numerical scheme for a time-fractional Fokker-Planck equation.

Kassem Mustapha, Omar M. Knio, Olivier P. Le Maître

CoRR, 2021

Erratum to "Regularity theory for time-fractional advection-diffusion-reaction equations" [Comput. Math. Appl. 79 (2020) 947-961].

William McLean, Kassem Mustapha, Raed Ali, Omar M. Knio

Comput. Math. Appl., 2021

2020

A Bayesian Structural Time Series Approach for Predicting Red Sea Temperatures.

Nabila Bounceur, Ibrahim Hoteit, Omar M. Knio

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Regularity theory for time-fractional advection-diffusion-reaction equations.

William McLean, Kassem Mustapha, Raed Ali, Omar M. Knio

Comput. Math. Appl., 2020

2019

Abnormal events detection using deep neural networks: application to extreme sea surface temperature detection in the Red Sea.

Mohamad Mazen Hittawe, Shehzad Afzal, Tahira Jamil, Hichem Snoussi, Ibrahim Hoteit, Omar M. Knio

J. Electronic Imaging, 2019

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

Ramy Tanios, Samah El Mohtar, Omar M. Knio, Issam Lakkis

CoRR, 2019

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

Tong Wang, Ricardo M. Lima, Loïc Giraldi, Omar M. Knio

Comput. Oper. Res., 2019

The State of the Art in Visual Analysis Approaches for Ocean and Atmospheric Datasets.

Shehzad Afzal, Mohamad Mazen Hittawe, Sohaib Ghani, Tahira Jamil, Omar M. Knio, Markus Hadwiger, Kevin I.-J. Ho

Comput. Graph. Forum, 2019

2018

Parallel Domain Decomposition Strategies for Stochastic Elliptic Equations Part B: Accelerated Monte Carlo Sampling with Local PC Expansions.

Andres Contreras, Paul Mycek, Olivier P. Le Maître, Francesco Rizzi, Bert J. Debusschere, Omar M. Knio

SIAM J. Sci. Comput., 2018

Parallel Domain Decomposition Strategies for Stochastic Elliptic Equations. Part A: Local Karhunen-Loève Representations.

Andres Contreras, Paul Mycek, Olivier P. Le Maître, Francesco Rizzi, Bert J. Debusschere, Omar M. Knio

SIAM J. Sci. Comput., 2018

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

Francesco Rizzi, Karla Morris, Khachik Sargsyan, Paul Mycek, Cosmin Safta, Olivier P. Le Maître, Omar M. Knio, Bert J. Debusschere

Parallel Comput., 2018

Partial differential equations preconditioner resilient to soft and hard faults.

Francesco Rizzi, Karla Morris, Khachik Sargsyan, Paul Mycek, Cosmin Safta, Olivier P. Le Maître, Omar M. Knio, Bert J. Debusschere

Int. J. High Perform. Comput. Appl., 2018

Optimal projection of observations in a Bayesian setting.

Loïc Giraldi, Olivier P. Le Maître, Ibrahim Hoteit, Omar M. Knio

Comput. Stat. Data Anal., 2018

Risk-averse formulations and methods for a virtual power plant.

Ricardo M. Lima, Antonio J. Conejo, Sabique Langodan, Ibrahim Hoteit, Omar M. Knio

Comput. Oper. Res., 2018

2017

Discrete A Priori Bounds for the Detection of Corrupted PDE Solutions in Exascale Computations.

Paul Mycek, Francesco Rizzi, Olivier P. Le Maître, Khachik Sargsyan, Karla Morris, Cosmin Safta, Bert J. Debusschere, Omar M. Knio

SIAM J. Sci. Comput., 2017

Nonintrusive Polynomial Chaos Expansions for Sensitivity Analysis in Stochastic Differential Equations.

M. Navarro Jimenez, Olivier P. Le Maître, Omar M. Knio

SIAM/ASA J. Uncertain. Quantification, 2017

A resilient domain decomposition polynomial chaos solver for uncertain elliptic PDEs.

Paul Mycek, Andres Contreras, Olivier P. Le Maître, Khachik Sargsyan, Francesco Rizzi, Karla Morris, Cosmin Safta, Bert J. Debusschere, Omar M. Knio

Comput. Phys. Commun., 2017

Particle Simulation of Fractional Diffusion Equations.

S. Allouch, M. Lucchesi, Olivier P. Le Maître, K. A. Mustapha, Omar M. Knio

CoRR, 2017

2016

Sparse Pseudo Spectral Projection Methods with Directional Adaptation for Uncertainty Quantification.

Justin Winokur, Daesang Kim, Fabrizio Bisetti, Olivier P. Le Maître, Omar M. Knio

J. Sci. Comput., 2016

Scalability of Partial Differential Equations Preconditioner Resilient to Soft and Hard Faults.

Karla Morris, Francesco Rizzi, Khachik Sargsyan, Kathryn Dahlgren, Paul Mycek, Cosmin Safta, Olivier P. Le Maître, Omar M. Knio, Bert J. Debusschere

Proceedings of the High Performance Computing - 31st International Conference, 2016

Performance Scaling Variability and Energy Analysis for a Resilient ULFM-based PDE Solver.

Karla Morris, Francesco Rizzi, Brendan Cook, Paul Mycek, Olivier P. Le Maître, Omar M. Knio, Khachik Sargsyan, Kathryn Dahlgren, Bert J. Debusschere

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.

Francesco Rizzi, Karla Morris, Khachik Sargsyan, Paul Mycek, Cosmin Safta, Bert J. Debusschere, Olivier P. Le Maître, Omar M. Knio

Proceedings of the ACM Workshop on Fault-Tolerance for HPC at Extreme Scale, 2016

2015

Fault Resilient Domain Decomposition Preconditioner for PDEs.

Khachik Sargsyan, Francesco Rizzi, Paul Mycek, Cosmin Safta, Karla Morris, Habib N. Najm, Olivier P. Le Maître, Omar M. Knio, Bert J. Debusschere

SIAM J. Sci. Comput., 2015

PC analysis of stochastic differential equations driven by Wiener noise.

Olivier P. Le Maître, Omar M. Knio

Reliab. Eng. Syst. Saf., 2015

Probability Maps for the Visualization of Assimilation Ensemble Flow Data.

Thomas Höllt, Markus Hadwiger, Omar M. Knio, Ibrahim Hoteit

Proceedings of the 3rd Workshop on Visualisation in Environmental Sciences, 2015

2014

Preconditioned Bayesian Regression for Stochastic Chemical Kinetics.

Alen Alexanderian, Francesco Rizzi, Muruhan Rathinam, Olivier P. Le Maître, Omar M. Knio

J. Sci. Comput., 2014

2012

Uncertainty Quantification in MD Simulations. Part II: Bayesian Inference of Force-Field Parameters.

Francesco Rizzi, Habib N. Najm, Bert J. Debusschere, Khachik Sargsyan, Maher Salloum, Helgi Adalsteinsson, Omar M. Knio

Multiscale Model. Simul., 2012

Uncertainty Quantification in MD Simulations. Part I: Forward Propagation.

Francesco Rizzi, Habib N. Najm, Bert J. Debusschere, Khachik Sargsyan, Maher Salloum, Helgi Adalsteinsson, Omar M. Knio

Multiscale Model. Simul., 2012

Multiscale Stochastic Preconditioners in Non-intrusive Spectral Projection.

Alen Alexanderian, Olivier P. Le Maître, Habib N. Najm, Mohamed Iskandarani, Omar M. Knio

J. Sci. Comput., 2012

2011

Bayesian Inference of Atomic Diffusivity in a Binary Ni/Al System Based on Molecular Dynamics.

Francesco Rizzi, Maher Salloum, Youssef M. Marzouk, R.-G. Xu, M. L. Falk, T. P. Weihs, G. Fritz, Omar M. Knio

Multiscale Model. Simul., 2011

2010

Many Task Computing for modeling the fate of oil discharged from the Deep Water Horizon well blowout.

Ashwanth Srinivasan, Matthieu Le Hénaff, Villy H. Kourafalou, William C. Thacker, Nicholas F. Tsinoremas, Judith Helgers, Claire B. Paris, HeeSook Kang, Mohamed Iskandarani, Joel P. Zysman, Omar M. Knio

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.

Olivier P. Le Maître, Habib N. Najm, Philippe P. Pébay, Roger G. Ghanem, Omar M. Knio

SIAM J. Sci. Comput., 2007

A stochastic particle-mesh scheme for uncertainty propagation in vortical flows.

Olivier P. Le Maître, Omar M. Knio

J. Comput. Phys., 2007

2005

Modeling Low Mach Number Reacting Flow with Detailed Chemistry and Transport.

Habib N. Najm, Omar M. Knio

J. Sci. Comput., 2005

2004

Natural Convection in a Closed Cavity under Stochastic Non-Boussinesq Conditions.

Olivier P. Le Maître, M. T. Reagan, Bert J. Debusschere, Habib N. Najm, Roger G. Ghanem, Omar M. Knio

SIAM J. Sci. Comput., 2004

Numerical Challenges in the Use of Polynomial Chaos Representations for Stochastic Processes.

Bert J. Debusschere, Habib N. Najm, Philippe P. Pébay, Omar M. Knio, Roger G. Ghanem, Olivier P. Le Maître

SIAM J. Sci. Comput., 2004

1997

Vortical Flow Outside a Sphere and Sound Generation.

Lu Ting, Omar M. Knio

SIAM J. Appl. Math., 1997