Roger G. Ghanem
Orcid: 0000-0002-1890-920XAffiliations:
- University of Southern California, Los Angeles, USA
According to our database1,
Roger G. Ghanem
authored at least 49 papers
between 2004 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on zbmath.org
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on orcid.org
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on d-nb.info
On csauthors.net:
Bibliography
2024
Damage detection and localization in sealed spent nuclear fuel dry storage canisters using multi-task machine learning classifiers.
Reliab. Eng. Syst. Saf., 2024
Machine learning-aided damage identification of mock-up spent nuclear fuel assemblies in a sealed dry storage canister.
Eng. Appl. Artif. Intell., 2024
2023
Stochastic multiscale modeling for quantifying statistical and model errors with application to composite materials.
Reliab. Eng. Syst. Saf., July, 2023
2022
IEEE Trans. Intell. Transp. Syst., 2022
2021
Proceedings of the AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 22nd - to, 2021
2020
IEEE Trans. Intell. Transp. Syst., 2020
Sampling of Bayesian posteriors with a non-Gaussian probabilistic learning on manifolds from a small dataset.
Stat. Comput., 2020
Probabilistic learning on manifolds constrained by nonlinear partial differential equations for small datasets.
CoRR, 2020
2019
J. Comput. Phys., 2019
J. Comput. Phys., 2019
Design optimization of a scramjet under uncertainty using probabilistic learning on manifolds.
J. Comput. Phys., 2019
Sampling of Bayesian posteriors with a non-Gaussian probabilistic learning on manifolds from a small dataset.
CoRR, 2019
2018
The Stochastic Quasi-chemical Model for Bacterial Growth: Variational Bayesian Parameter Update.
J. Nonlinear Sci., 2018
2017
SIAM/ASA J. Uncertain. Quantification, 2017
Reduced Wiener Chaos representation of random fields via basis adaptation and projection.
J. Comput. Phys., 2017
Homogeneous chaos basis adaptation for design optimization under uncertainty: Application to the oil well placement problem.
Artif. Intell. Eng. Des. Anal. Manuf., 2017
Artif. Intell. Eng. Des. Anal. Manuf., 2017
2016
J. Comput. Phys., 2016
2015
Probabilistic Approach to NASA Langley Research Center Multidisciplinary Uncertainty Quantification Challenge Problem.
J. Aerosp. Inf. Syst., 2015
2014
Hierarchical Schur complement preconditioner for the stochastic Galerkin finite element methods : Dedicated to Professor Ivo Marek on the occasion of his 80th birthday.
Numer. Linear Algebra Appl., 2014
Multiscale Stochastic Representation in High-Dimensional Data Using Gaussian Processes with Implicit Diffusion Metrics.
Proceedings of the Dynamic Data-Driven Environmental Systems Science, 2014
2013
SIAM/ASA J. Uncertain. Quantification, 2013
Simple Urban Simulation Atop Complicated Models: Multi-Scale Equation-Free Computing of Sprawl Using Geographic Automata.
Entropy, 2013
2012
Int. J. Geogr. Inf. Sci., 2012
2010
J. Comput. Phys., 2010
Efficient Monte Carlo computation of Fisher information matrix using prior information.
Comput. Stat. Data Anal., 2010
2009
Multiscale Model. Simul., 2009
Polynomial chaos representation of spatio-temporal random fields from experimental measurements.
J. Comput. Phys., 2009
2008
Asymptotic Sampling Distribution for Polynomial Chaos Representation from Data: A Maximum Entropy and Fisher Information Approach.
SIAM J. Sci. Comput., 2008
2007
SIAM J. Sci. Comput., 2007
An efficient calculation of Fisher information matrix: Monte Carlo approach using prior information.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007
2006
On the construction and analysis of stochastic models: Characterization and propagation of the errors associated with limited data.
J. Comput. Phys., 2006
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006
Proceedings of the 20th Annual International Symposium on High Performance Computing Systems and Applications (HPCS 2006), 2006
Asymptotic Sampling Distribution for Polynomial Chaos Representation of Data: A Maximum Entropy and Fisher information approach.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006
2005
Multiscale Model. Simul., 2005
Multiscale Model. Simul., 2005
Comput. Sci. Eng., 2005
2004
Physical Systems with Random Uncertainties: Chaos Representations with Arbitrary Probability Measure.
SIAM J. Sci. Comput., 2004
SIAM J. Sci. Comput., 2004
Special Issue on Uncertainty Quantification.
SIAM J. Sci. Comput., 2004
Numerical Challenges in the Use of Polynomial Chaos Representations for Stochastic Processes.
SIAM J. Sci. Comput., 2004
Orthogonal representations of stochastic processes and their propagation in mechanics.
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004