Omar M. Knio

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 38

Top Topics

Monte Carlo Sampling

Differential Equations

Visual Analytics

Top Venues

SIAM J. Sci. Comput.

J. Sci. Comput.

Comput. Math. Appl.

Publications

Ricardo M. Lima, Gonzalo E. Constante-Flores, Antonio J. Conejo, Omar M. Knio
An effective hybrid decomposition approach to solve the network-constrained stochastic unit commitment problem in large-scale power systems. EURO J. Comput. Optim. 12 (2024)
Mohamad Abed El Rahman Hammoud, Naila Raboudi, Edriss S. Titi, Omar M. Knio, Ibrahim Hoteit
Data Assimilation in Chaotic Systems Using Deep Reinforcement Learning. CoRR (2024)
Mohamad Mazen Hittawe, Fouzi Harrou, Mohammed Amine Togou, Ying Sun, Omar M. Knio
Time-series weather prediction in the Red sea using ensemble transformers. Appl. Soft Comput. 164 (2024)
Wenyu Lei, George Turkiyyah, Omar M. Knio
Finite Element Discretizations for Variable-Order Fractional Diffusion Problems. J. Sci. Comput. 97 (1) (2023)
Mohamad Abed El Rahman Hammoud, Edriss S. Titi, Ibrahim Hoteit, Omar M. Knio
Downscaling Using CDAnet Under Observational and Model Noises: The Rayleigh-Benard Convection Paradigm. CoRR (2023)
Mohamad Abed El Rahman Hammoud, Peng Zhan, Omar Hakla, Omar M. Knio, Ibrahim Hoteit
Semantic Segmentation of Mesoscale Eddies in the Arabian Sea: A Deep Learning Approach. Remote. Sens. 15 (6) (2023)
Wenyu Lei, George Turkiyyah, Omar M. Knio
Finite element discretizations for variable-order fractional diffusion problems. CoRR (2023)
Shehzad Afzal, Sohaib Ghani, Mohamad Mazen Hittawe, Sheikh Faisal Rashid, Omar M. Knio, Markus Hadwiger, Ibrahim Hoteit
Visualization and Visual Analytics Approaches for Image and Video Datasets: A Survey. ACM Trans. Interact. Intell. Syst. 13 (1) (2023)
Mohamad Abed El Rahman Hammoud, Olivier LeMaitre, Edriss S. Titi, Ibrahim Hoteit, Omar M. Knio
Continuous and Discrete Data Assimilation with Noisy Observations for the Rayleigh-Benard Convection: A Computational Study. CoRR (2022)
Mohamad Mazen Hittawe, Sabique Langodan, Ouadi Beya, Ibrahim Hoteit, Omar M. Knio
Efficient SST prediction in the Red Sea using hybrid deep learning-based approach. INDIN (2022)
Srinivas Desamsetti, Hari Prasad Dasari, Sabique Langodan, Yesubabu Viswanadhapalli, Raju Attada, Thang M. Luong, Omar M. Knio, Edriss S. Titi, Ibrahim Hoteit
Enhanced Simulation of the Indian Summer Monsoon Rainfall Using Regional Climate Modeling and Continuous Data Assimilation. CoRR (2022)
Ricardo M. Lima, Antonio J. Conejo, Loïc Giraldi, Olivier P. Le Maître, Ibrahim Hoteit, Omar M. Knio
Risk-Averse Stochastic Programming vs. Adaptive Robust Optimization: A Virtual Power Plant Application. INFORMS J. Comput. 34 (3) (2022)
Stefano Zampini, Wajih Halim Boukaram, George Turkiyyah, Omar M. Knio, David E. Keyes
H2Opus: a distributed-memory multi-GPU software package for non-local operators. Adv. Comput. Math. 48 (3) (2022)
William McLean, Kassem Mustapha, Raed Ali, Omar M. Knio
Erratum to "Regularity theory for time-fractional advection-diffusion-reaction equations" [Comput. Math. Appl. 79 (2020) 947-961]. Comput. Math. Appl. 85 (2021)
Kassem Mustapha, Omar M. Knio, Olivier P. Le Maître
A second-order accurate numerical scheme for a time-fractional Fokker-Planck equation. CoRR (2021)
Hasnaa Alzahrani, George Turkiyyah, Omar M. Knio, David E. Keyes
Space-Fractional Diffusion with Variable Order and Diffusivity: Discretization and Direct Solution Strategies. CoRR (2021)
Stefano Zampini, Wajih Halim Boukaram, George Turkiyyah, Omar M. Knio, David E. Keyes
H2Opus: A distributed-memory multi-GPU software package for non-local operators. CoRR (2021)
Ricardo M. Lima, Antonio J. Conejo, Loïc Giraldi, Olivier P. Le Maître, Ibrahim Hoteit, Omar M. Knio
Sample average approximation for risk-averse problems: A virtual power plant scheduling application. EURO J. Comput. Optim. 9 (2021)
William McLean, Kassem Mustapha, Raed Ali, Omar M. Knio
Regularity theory for time-fractional advection-diffusion-reaction equations. Comput. Math. Appl. 79 (4) (2020)
Nabila Bounceur, Ibrahim Hoteit, Omar M. Knio
A Bayesian Structural Time Series Approach for Predicting Red Sea Temperatures. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13 (2020)
Shehzad Afzal, Mohamad Mazen Hittawe, Sohaib Ghani, Tahira Jamil, Omar M. Knio, Markus Hadwiger, Kevin I.-J. Ho
The State of the Art in Visual Analysis Approaches for Ocean and Atmospheric Datasets. Comput. Graph. Forum 38 (3) (2019)
Ramy Tanios, Samah El Mohtar, Omar M. Knio, Issam Lakkis
Green's function of the screened Poisson's equation on the sphere. CoRR (2019)
Tong Wang, Ricardo M. Lima, Loïc Giraldi, Omar M. Knio
Trajectory planning for autonomous underwater vehicles in the presence of obstacles and a nonlinear flow field using mixed integer nonlinear programming. Comput. Oper. Res. 101 (2019)
Mohamad Mazen Hittawe, Shehzad Afzal, Tahira Jamil, Hichem Snoussi, Ibrahim Hoteit, Omar M. Knio
Abnormal events detection using deep neural networks: application to extreme sea surface temperature detection in the Red Sea. J. Electronic Imaging 28 (2) (2019)
Ricardo M. Lima, Antonio J. Conejo, Sabique Langodan, Ibrahim Hoteit, Omar M. Knio
Risk-averse formulations and methods for a virtual power plant. Comput. Oper. Res. 96 (2018)
Andres Contreras, Paul Mycek, Olivier P. Le Maître, Francesco Rizzi, Bert J. Debusschere, Omar M. Knio
Parallel Domain Decomposition Strategies for Stochastic Elliptic Equations Part B: Accelerated Monte Carlo Sampling with Local PC Expansions. SIAM J. Sci. Comput. 40 (4) (2018)
Andres Contreras, Paul Mycek, Olivier P. Le Maître, Francesco Rizzi, Bert J. Debusschere, Omar M. Knio
Parallel Domain Decomposition Strategies for Stochastic Elliptic Equations. Part A: Local Karhunen-Loève Representations. SIAM J. Sci. Comput. 40 (4) (2018)
Loïc Giraldi, Olivier P. Le Maître, Ibrahim Hoteit, Omar M. Knio
Optimal projection of observations in a Bayesian setting. Comput. Stat. Data Anal. 124 (2018)
Francesco Rizzi, Karla Morris, Khachik Sargsyan, Paul Mycek, Cosmin Safta, Olivier P. Le Maître, Omar M. Knio, Bert J. Debusschere
Partial differential equations preconditioner resilient to soft and hard faults. Int. J. High Perform. Comput. Appl. 32 (5) (2018)
Francesco Rizzi, Karla Morris, Khachik Sargsyan, Paul Mycek, Cosmin Safta, Olivier P. Le Maître, Omar M. Knio, Bert J. Debusschere
Exploring the interplay of resilience and energy consumption for a task-based partial differential equations preconditioner. Parallel Comput. 73 (2018)
S. Allouch, M. Lucchesi, Olivier P. Le Maître, K. A. Mustapha, Omar M. Knio
Particle Simulation of Fractional Diffusion Equations. CoRR (2017)
M. Navarro Jimenez, Olivier P. Le Maître, Omar M. Knio
Nonintrusive Polynomial Chaos Expansions for Sensitivity Analysis in Stochastic Differential Equations. SIAM/ASA J. Uncertain. Quantification 5 (1) (2017)
Paul Mycek, Francesco Rizzi, Olivier P. Le Maître, Khachik Sargsyan, Karla Morris, Cosmin Safta, Bert J. Debusschere, Omar M. Knio
Discrete A Priori Bounds for the Detection of Corrupted PDE Solutions in Exascale Computations. SIAM J. Sci. Comput. 39 (1) (2017)
Paul Mycek, Andres Contreras, Olivier P. Le Maître, Khachik Sargsyan, Francesco Rizzi, Karla Morris, Cosmin Safta, Bert J. Debusschere, Omar M. Knio
A resilient domain decomposition polynomial chaos solver for uncertain elliptic PDEs. Comput. Phys. Commun. 216 (2017)
Francesco Rizzi, Karla Morris, Khachik Sargsyan, Paul Mycek, Cosmin Safta, Bert J. Debusschere, Olivier P. Le Maître, Omar M. Knio
ULFM-MPI Implementation of a Resilient Task-Based Partial Differential Equations Preconditioner. FTXS@HPDC (2016)
Karla Morris, Francesco Rizzi, Khachik Sargsyan, Kathryn Dahlgren, Paul Mycek, Cosmin Safta, Olivier P. Le Maître, Omar M. Knio, Bert J. Debusschere
Scalability of Partial Differential Equations Preconditioner Resilient to Soft and Hard Faults. ISC (2016)
Karla Morris, Francesco Rizzi, Brendan Cook, Paul Mycek, Olivier P. Le Maître, Omar M. Knio, Khachik Sargsyan, Kathryn Dahlgren, Bert J. Debusschere
Performance Scaling Variability and Energy Analysis for a Resilient ULFM-based PDE Solver. ScalA@SC (2016)
Justin Winokur, Daesang Kim, Fabrizio Bisetti, Olivier P. Le Maître, Omar M. Knio
Sparse Pseudo Spectral Projection Methods with Directional Adaptation for Uncertainty Quantification. J. Sci. Comput. 68 (2) (2016)
Thomas Höllt, Markus Hadwiger, Omar M. Knio, Ibrahim Hoteit
Probability Maps for the Visualization of Assimilation Ensemble Flow Data. EnvirVis@EuroVis (2015)
Khachik Sargsyan, Francesco Rizzi, Paul Mycek, Cosmin Safta, Karla Morris, Habib N. Najm, Olivier P. Le Maître, Omar M. Knio, Bert J. Debusschere
Fault Resilient Domain Decomposition Preconditioner for PDEs. SIAM J. Sci. Comput. 37 (5) (2015)
Francesco Rizzi, Karla Morris, Khachik Sargsyan, Paul Mycek, Cosmin Safta, Olivier P. Le Maître, Omar M. Knio, Bert J. Debusschere
Partial Differential Equations Preconditioner Resilient to Soft and Hard Faults. CLUSTER (2015)
Olivier P. Le Maître, Omar M. Knio
PC analysis of stochastic differential equations driven by Wiener noise. Reliab. Eng. Syst. Saf. 135 (2015)
Alen Alexanderian, Francesco Rizzi, Muruhan Rathinam, Olivier P. Le Maître, Omar M. Knio
Preconditioned Bayesian Regression for Stochastic Chemical Kinetics. J. Sci. Comput. 58 (3) (2014)
Alen Alexanderian, Olivier P. Le Maître, Habib N. Najm, Mohamed Iskandarani, Omar M. Knio
Multiscale Stochastic Preconditioners in Non-intrusive Spectral Projection. J. Sci. Comput. 50 (2) (2012)
Francesco Rizzi, Habib N. Najm, Bert J. Debusschere, Khachik Sargsyan, Maher Salloum, Helgi Adalsteinsson, Omar M. Knio
Uncertainty Quantification in MD Simulations. Part II: Bayesian Inference of Force-Field Parameters. Multiscale Model. Simul. 10 (4) (2012)
Francesco Rizzi, Habib N. Najm, Bert J. Debusschere, Khachik Sargsyan, Maher Salloum, Helgi Adalsteinsson, Omar M. Knio
Uncertainty Quantification in MD Simulations. Part I: Forward Propagation. Multiscale Model. Simul. 10 (4) (2012)
Francesco Rizzi, Maher Salloum, Y. M. Marzouk, R.-G. Xu, M. L. Falk, T. P. Weihs, G. Fritz, Omar M. Knio
Bayesian Inference of Atomic Diffusivity in a Binary Ni/Al System Based on Molecular Dynamics. Multiscale Model. Simul. 9 (1) (2011)
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
Many Task Computing for modeling the fate of oil discharged from the Deep Water Horizon well blowout. MTAGS@SC (2010)
Olivier P. Le Maître, Habib N. Najm, Philippe P. Pébay, Roger G. Ghanem, Omar M. Knio
Multi-Resolution-Analysis Scheme for Uncertainty Quantification in Chemical Systems. SIAM J. Sci. Comput. 29 (2) (2007)
Olivier P. Le Maître, Omar M. Knio
A stochastic particle-mesh scheme for uncertainty propagation in vortical flows. J. Comput. Phys. 226 (1) (2007)
Habib N. Najm, Omar M. Knio
Modeling Low Mach Number Reacting Flow with Detailed Chemistry and Transport. J. Sci. Comput. 25 (1-2) (2005)
Olivier P. Le Maître, M. T. Reagan, Bert J. Debusschere, Habib N. Najm, Roger G. Ghanem, Omar M. Knio
Natural Convection in a Closed Cavity under Stochastic Non-Boussinesq Conditions. SIAM J. Sci. Comput. 26 (2) (2004)
Bert J. Debusschere, Habib N. Najm, Philippe P. Pébay, Omar M. Knio, Roger G. Ghanem, Olivier P. Le Maître
Numerical Challenges in the Use of Polynomial Chaos Representations for Stochastic Processes. SIAM J. Sci. Comput. 26 (2) (2004)
Lu Ting, Omar M. Knio
Vortical Flow Outside a Sphere and Sound Generation. SIAM J. Appl. Math. 57 (4) (1997)