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Omar M. Knio
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2020 – today
- 2024
- [j37]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: 111926 (2024) - [j36]Ricardo M. Lima
An effective hybrid decomposition approach to solve the network-constrained stochastic unit commitment problem in large-scale power systems. EURO J. Comput. Optim. 12: 100085 (2024) - [i10]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 abs/2401.00916 (2024) - 2023
- [j35]Wenyu Lei
Finite Element Discretizations for Variable-Order Fractional Diffusion Problems. J. Sci. Comput. 97(1): 5 (2023) - [j34]Mohamad Abed El Rahman Hammoud
Semantic Segmentation of Mesoscale Eddies in the Arabian Sea: A Deep Learning Approach. Remote. Sens. 15(6): 1525 (2023) - [j33]Shehzad Afzal
Visualization and Visual Analytics Approaches for Image and Video Datasets: A Survey. ACM Trans. Interact. Intell. Syst. 13(1): 5:1-5:41 (2023) - [i9]Wenyu Lei, George Turkiyyah, Omar M. Knio:
Finite element discretizations for variable-order fractional diffusion problems. CoRR abs/2302.02863 (2023) - [i8]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 abs/2310.11945 (2023) - 2022
- [j32]Stefano Zampini
H2Opus: a distributed-memory multi-GPU software package for non-local operators. Adv. Comput. Math. 48(3): 31 (2022) - [j31]Ricardo M. Lima
Risk-Averse Stochastic Programming vs. Adaptive Robust Optimization: A Virtual Power Plant Application. INFORMS J. Comput. 34(3): 1795-1818 (2022) - [c7]Mohamad Mazen Hittawe
Efficient SST prediction in the Red Sea using hybrid deep learning-based approach. INDIN 2022: 107-117 - [i7]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 abs/2201.10954 (2022) - [i6]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 abs/2211.02828 (2022) - 2021
- [j30]William McLean, Kassem Mustapha
Erratum to "Regularity theory for time-fractional advection-diffusion-reaction equations" [Comput. Math. Appl. 79 (2020) 947-961]. Comput. Math. Appl. 85: 82-83 (2021) - [j29]Ricardo M. Lima
Sample average approximation for risk-averse problems: A virtual power plant scheduling application. EURO J. Comput. Optim. 9: 100005 (2021) - [i5]Kassem Mustapha, Omar M. Knio, Olivier P. Le Maître:
A second-order accurate numerical scheme for a time-fractional Fokker-Planck equation. CoRR abs/2106.14146 (2021) - [i4]Hasnaa Alzahrani, George Turkiyyah, Omar M. Knio, David E. Keyes
Space-Fractional Diffusion with Variable Order and Diffusivity: Discretization and Direct Solution Strategies. CoRR abs/2108.12772 (2021) - [i3]Stefano Zampini
H2Opus: A distributed-memory multi-GPU software package for non-local operators. CoRR abs/2109.05451 (2021) - 2020
- [j28]William McLean
Regularity theory for time-fractional advection-diffusion-reaction equations. Comput. Math. Appl. 79(4): 947-961 (2020) - [j27]Nabila Bounceur
A Bayesian Structural Time Series Approach for Predicting Red Sea Temperatures. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 1996-2009 (2020)
2010 – 2019
- 2019
- [j26]Shehzad Afzal, Mohamad Mazen Hittawe
The State of the Art in Visual Analysis Approaches for Ocean and Atmospheric Datasets. Comput. Graph. Forum 38(3): 881-907 (2019) - [j25]Tong Wang
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: 55-75 (2019) - [j24]Mohamad Mazen Hittawe
Abnormal events detection using deep neural networks: application to extreme sea surface temperature detection in the Red Sea. J. Electronic Imaging 28(2): 021012 (2019) - [i2]Ramy Tanios, Samah El Mohtar, Omar M. Knio, Issam Lakkis:
Green's function of the screened Poisson's equation on the sphere. CoRR abs/1911.10944 (2019) - 2018
- [j23]Ricardo M. Lima
Risk-averse formulations and methods for a virtual power plant. Comput. Oper. Res. 96: 350-373 (2018) - [j22]Loïc Giraldi
Optimal projection of observations in a Bayesian setting. Comput. Stat. Data Anal. 124: 252-276 (2018) - [j21]Francesco Rizzi, Karla Morris, Khachik Sargsyan, Paul Mycek, Cosmin Safta
Partial differential equations preconditioner resilient to soft and hard faults. Int. J. High Perform. Comput. Appl. 32(5): 658-673 (2018) - [j20]Francesco Rizzi
Exploring the interplay of resilience and energy consumption for a task-based partial differential equations preconditioner. Parallel Comput. 73: 16-27 (2018) - [j19]Andres Contreras, Paul Mycek, Olivier P. Le Maître
Parallel Domain Decomposition Strategies for Stochastic Elliptic Equations. Part A: Local Karhunen-Loève Representations. SIAM J. Sci. Comput. 40(4): C520-C546 (2018) - [j18]Andres Contreras, Paul Mycek, Olivier P. Le Maître
Parallel Domain Decomposition Strategies for Stochastic Elliptic Equations Part B: Accelerated Monte Carlo Sampling with Local PC Expansions. SIAM J. Sci. Comput. 40(4): C547-C580 (2018) - 2017
- [j17]Paul Mycek
A resilient domain decomposition polynomial chaos solver for uncertain elliptic PDEs. Comput. Phys. Commun. 216: 18-34 (2017) - [j16]M. Navarro Jimenez, Olivier P. Le Maître
Nonintrusive Polynomial Chaos Expansions for Sensitivity Analysis in Stochastic Differential Equations. SIAM/ASA J. Uncertain. Quantification 5(1): 378-402 (2017) - [j15]Paul Mycek, Francesco Rizzi, Olivier P. Le Maître
Discrete A Priori Bounds for the Detection of Corrupted PDE Solutions in Exascale Computations. SIAM J. Sci. Comput. 39(1) (2017) - [i1]S. Allouch, M. Lucchesi, Olivier P. Le Maître, K. A. Mustapha, Omar M. Knio:
Particle Simulation of Fractional Diffusion Equations. CoRR abs/1707.03871 (2017) - 2016
- [j14]Justin Winokur, Daesang Kim, Fabrizio Bisetti
Sparse Pseudo Spectral Projection Methods with Directional Adaptation for Uncertainty Quantification. J. Sci. Comput. 68(2): 596-623 (2016) - [c6]Francesco Rizzi
ULFM-MPI Implementation of a Resilient Task-Based Partial Differential Equations Preconditioner. FTXS@HPDC 2016: 19-26 - [c5]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: 41-48 - [c4]Karla Morris, Francesco Rizzi, Khachik Sargsyan, Kathryn Dahlgren, Paul Mycek
Scalability of Partial Differential Equations Preconditioner Resilient to Soft and Hard Faults. ISC 2016: 469-485 - 2015
- [j13]Olivier P. Le Maître
PC analysis of stochastic differential equations driven by Wiener noise. Reliab. Eng. Syst. Saf. 135: 107-124 (2015) - [j12]Khachik Sargsyan, Francesco Rizzi, Paul Mycek
Fault Resilient Domain Decomposition Preconditioner for PDEs. SIAM J. Sci. Comput. 37(5) (2015) - [c3]Francesco Rizzi, Karla Morris, Khachik Sargsyan, Paul Mycek
Partial Differential Equations Preconditioner Resilient to Soft and Hard Faults. CLUSTER 2015: 552-562 - [c2]Thomas Höllt, Markus Hadwiger
Probability Maps for the Visualization of Assimilation Ensemble Flow Data. EnvirVis@EuroVis 2015: 43-47 - 2014
- [j11]Alen Alexanderian, Francesco Rizzi, Muruhan Rathinam, Olivier P. Le Maître
Preconditioned Bayesian Regression for Stochastic Chemical Kinetics. J. Sci. Comput. 58(3): 592-626 (2014) - 2012
- [j10]Alen Alexanderian, Olivier P. Le Maître
Multiscale Stochastic Preconditioners in Non-intrusive Spectral Projection. J. Sci. Comput. 50(2): 306-340 (2012) - [j9]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): 1428-1459 (2012) - [j8]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): 1460-1492 (2012) - 2011
- [j7]Francesco Rizzi, Maher Salloum, Youssef M. Marzouk, R.-G. Xu
Bayesian Inference of Atomic Diffusivity in a Binary Ni/Al System Based on Molecular Dynamics. Multiscale Model. Simul. 9(1): 486-512 (2011) - 2010
- [c1]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: 1-7
2000 – 2009
- 2007
- [j6]Olivier P. Le Maître
A stochastic particle-mesh scheme for uncertainty propagation in vortical flows. J. Comput. Phys. 226(1): 645-671 (2007) - [j5]Olivier P. Le Maître
Multi-Resolution-Analysis Scheme for Uncertainty Quantification in Chemical Systems. SIAM J. Sci. Comput. 29(2): 864-889 (2007) - 2005
- [j4]Habib N. Najm, Omar M. Knio:
Modeling Low Mach Number Reacting Flow with Detailed Chemistry and Transport. J. Sci. Comput. 25(1-2): 263-287 (2005) - 2004
- [j3]Olivier P. Le Maître
Natural Convection in a Closed Cavity under Stochastic Non-Boussinesq Conditions. SIAM J. Sci. Comput. 26(2): 375-394 (2004) - [j2]Bert J. Debusschere
Numerical Challenges in the Use of Polynomial Chaos Representations for Stochastic Processes. SIAM J. Sci. Comput. 26(2): 698-719 (2004)
1990 – 1999
- 1997
- [j1]Lu Ting, Omar M. Knio:
Vortical Flow Outside a Sphere and Sound Generation. SIAM J. Appl. Math. 57(4): 972-981 (1997)
Coauthor Index
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