World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
68
Citations
26258
World Ranking
1182
National Ranking
387

Research.com Recognitions

  • 2019 - SIAM Fellow For his seminal contributions to the mathematical foundations of uncertainty quantification methods.
  • 2018 - Fellow of the International Association for Computational Mechanics (IACM)
  • 2016 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2009 - THE BELYTSCHKO MEDAL For outstanding and sustained contributions to the development and dissemination of uncertainty quantification methods and their application to structural engineering

Overview

Roger Ghanem is affiliated with the University of Southern California in the United States. Their research spans multiple fields including engineering and computer science, with a focus on probabilistic and robust engineering design, model reduction and neural networks, and structural health monitoring techniques.

The primary domains of Ghanem's work include:

  • Probabilistic and Robust Engineering Design
  • Model Reduction and Neural Networks
  • Structural Health Monitoring Techniques
  • Gaussian Processes and Bayesian Inference
  • Transportation Planning and Optimization
  • Advanced Multi-Objective Optimization Algorithms
  • Wind and Air Flow Studies

Their research is often situated within the following subfields of study:

  • Statistics, Probability and Uncertainty
  • Artificial Intelligence
  • Civil and Structural Engineering
  • Statistical and Nonlinear Physics
  • Environmental Engineering

Frequent publication venues for Ghanem's research include:

  • Computer Methods in Applied Mechanics and Engineering
  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Reliability Engineering & System Safety
  • Computational Mechanics

They have collaborated frequently with several researchers, including:

  • Xiaoshu Zeng
  • Christian Soize
  • Ruda Zhang
  • Bora Gencturk
  • Zhiheng Wang

Selected recent publications by Roger Ghanem include:

  • "An extended polynomial chaos expansion for PDF characterization and variation with aleatory and epistemic uncertainties," 2021, Computer Methods in Applied Mechanics and Engineering
  • "A functional global sensitivity measure and efficient reliability sensitivity analysis with respect to statistical parameters," 2022, Computer Methods in Applied Mechanics and Engineering
  • "Probabilistic learning on manifolds constrained by nonlinear partial differential equations for small datasets," 2021, Computer Methods in Applied Mechanics and Engineering
  • "Probabilistic learning and updating of a digital twin for composite material systems," 2020, International Journal for Numerical Methods in Engineering
  • "Projection pursuit adaptation on polynomial chaos expansions," 2022, Computer Methods in Applied Mechanics and Engineering

Over their career, Ghanem's contributions have been recognized by multiple awards, including:

  • SIAM Fellow (2019) for seminal contributions to the mathematical foundations of uncertainty quantification methods
  • Fellow of the International Association for Computational Mechanics (IACM) (2018)
  • Fellow of the American Association for the Advancement of Science (AAAS) (2016)
  • THE BELYTSCHKO MEDAL (2009) for contributions to the development and dissemination of uncertainty quantification methods and their application to structural engineering

Best Publications

  • Stochastic Finite Elements: A Spectral Approach

    Roger G. Ghanem;Pol D. Spanos

  • Physical Systems with Random Uncertainties: Chaos Representations with Arbitrary Probability Measure

    Christian Soize;Roger Ghanem

  • Stochastic Finite Element Expansion for Random Media

    P. D. Spanos;Roger Ghanem

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

    Bert J. Debusschere;Habib N. Najm;Philippe P. Pébay;Omar M. Knio

  • Ingredients for a general purpose stochastic finite elements implementation

    Roger Ghanem

  • Uncertainty propagation using Wiener-Haar expansions

    O. P. Le Maître;O. M. Knio;H. N. Najm;R. G. Ghanem

  • Polynomial Chaos in Stochastic Finite Elements

    Roger Ghanem;P. D. Spanos

  • A stochastic projection method for fluid flow. I: basic formulation

    Olivier P. Le Maitre;Omar M. Kino;Habib N. Najm;Roger G. Ghanem

  • Handbook of Uncertainty Quantification

    Roger Ghanem;David Higdon;Houman Owhadi

  • A stochastic projection method for fluid flow II.: random process

    Olivier P. Le Maîetre;Matthew T. Reagan;Habib N. Najm;Roger G. Ghanem

  • Multi-resolution analysis of wiener-type uncertainty propagation schemes

    O. P. Le Maître;H. N. Najm;R. G. Ghanem;O. M. Knio

  • Numerical solution of spectral stochastic finite element systems

    Roger G. Ghanem;Robert M. Kruger

  • Uncertainty quantification in reacting-flow simulations through non-intrusive spectral projection

    Matthew T. Reagan;Habib N. Najm;Roger G. Ghanem;Omar M. Knio

  • Structural-System Identification. I: Theory

    Roger Ghanem;Masanobu Shinozuka

  • Spectral Stochastic Finite-Element Formulation for Reliability Analysis

    Roger G. Ghanem;Pol D. Spanos

  • Stochastic Finite-Element Analysis of Seismic Soil-Structure Interaction

    Dan M. Ghiocel;Roger G. Ghanem

  • Propagation of probabilistic uncertainty in complex physical systems using a stochastic finite element approach

    Roger Ghanem;John Red-Horse

  • Stochastic Finite Elements with Multiple Random Non-Gaussian Properties

    Roger Ghanem

  • Iterative solution of systems of linear equations arising in the context of stochastic finite elements

    M. F. Pellissetti;R. G. Ghanem

  • Polynomial chaos decomposition for the simulation of non-gaussian nonstationary stochastic processes

    Shigehiro Sakamoto;Roger Ghanem

  • A WAVELET-BASED APPROACH FOR THE IDENTIFICATION OF LINEAR TIME-VARYING DYNAMICAL SYSTEMS

    Roger Ghanem;Francesco Romeo

Frequent Co-Authors

Christian Soize
Christian Soize Université Gustave Eiffel
Habib N. Najm
Habib N. Najm Sandia National Laboratories
Pol D. Spanos
Pol D. Spanos Rice University
Omar M. Knio
Omar M. Knio King Abdullah University of Science and Technology
Sami F. Masri
Sami F. Masri University of Southern California
Ioannis G. Kevrekidis
Ioannis G. Kevrekidis Johns Hopkins University
James C. Spall
James C. Spall Johns Hopkins University Applied Physics Laboratory
Masanobu Shinozuka
Masanobu Shinozuka Columbia University
Jie Li
Jie Li Tongji University
Joseph C. Oefelein
Joseph C. Oefelein Georgia Institute of Technology

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