World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
47
Citations
9418
World Ranking
1351
National Ranking
538

Overview

Nam H. Kim is affiliated with the University of Florida in the United States and has contributed extensively to the field of engineering, with a particular focus on areas such as control and systems engineering, civil and structural engineering, mechanical engineering, statistics, probability and uncertainty, and mechanics of materials.

The scientist's work encompasses a variety of topics related primarily to engineering diagnostics and optimization methodologies. Key research themes include:

  • Machine Fault Diagnosis Techniques
  • Fault Detection and Control Systems
  • Advanced Multi-Objective Optimization Algorithms
  • Probabilistic and Robust Engineering Design
  • Structural Health Monitoring Techniques
  • Reliability and Maintenance Optimization
  • Infrastructure Maintenance and Monitoring

Nam H. Kim has published numerous papers across multiple well-recognized journals. Some notable recent publications include:

  • "Measurement of Residual Stress in Silicon Carbide Fibers of Tubular Composites Using Raman Spectroscopy" (2021) in Acta Materialia
  • "Data-driven prognostics with low-fidelity physical information for digital twin: physics-informed neural network" (2022) in Structural and Multidisciplinary Optimization
  • "Generalized Optimality Criteria Method for Topology Optimization" (2021) in Applied Sciences
  • "Multilevel Monte Carlo simulations of composite structures with uncertain manufacturing defects" (2020) in Probabilistic Engineering Mechanics
  • "Challenges and Opportunities of System-Level Prognostics" (2021) in Sensors

Frequent publication venues where Nam H. Kim's work appears include:

  • Journal of Digital Contents Society
  • Applied Sciences
  • Sensors
  • Structural and Multidisciplinary Optimization
  • Thin-Walled Structures

The scientist has collaborated regularly with other researchers, with notable frequent co-authors being:

  • Joo-Ho Choi
  • Seokgoo Kim
  • Raphael T. Haftka
  • Hyung Jun Park
  • Gwang-Mi Choi

Best Publications

  • Practical options for selecting data-driven or physics-based prognostics algorithms with reviews

    Dawn An;Dawn An;Nam Ho Kim;Joo Ho Choi

  • On design optimization for structural crashworthiness and its state of the art

    Jianguang Fang;Guangyong Sun;Na Qiu;Nam H. Kim

  • Structural Sensitivity Analysis and Optimization 1: Linear Systems

    Kyung K. Choi;Nam-Ho Kim

  • Review of options for structural design sensitivity analysis. Part 1: Linear systems

    F. van Keulen;R.T. Haftka;N.H. Kim

  • Prognostics 101: A tutorial for particle filter-based prognostics algorithm using Matlab

    Dawn An;Dawn An;Joo Ho Choi;Nam Ho Kim

  • Adaptive Designs of Experiments for Accurate Approximation of a Target Region

    Victor Picheny;David Ginsbourger;Olivier Roustant;Raphael T. Haftka

  • Mechanical Engineering Series

    Frederic F. Ling;Kyung K. Choi;Nam H. Kim;Nam Ho Kim

  • Remarks on multi-fidelity surrogates

    Chanyoung Park;Raphael T. Haftka;Nam H. Kim

  • Analysis of planar multibody systems with revolute joint wear

    Saad Mukras;Nam H. Kim;Nathan A. Mauntler;Tony L. Schmitz

  • Issues in Deciding Whether to Use Multifidelity Surrogates

    M. Giselle Fernández-Godino;Chanyoung Park;Nam H. Kim;Raphael T. Haftka

  • Review of multi-fidelity models

    M. Giselle Fernández-Godino;Chanyoung Park;Nam-Ho Kim;Raphael T. Haftka

  • Finite element analysis and experiments of metal/metal wear in oscillatory contacts

    Nam Ho Kim;Dongki Won;David Burris;Brian Holtkamp

  • Numerical integration schemes and parallel computation for wear prediction using finite element method

    Saad Mukras;Nam H. Kim;W. Gregory Sawyer;David B. Jackson

  • Country of origin effects on brand image, brand evaluation, and purchase intention: A closer look at Seoul, New York, and Paris fashion collection

    Namhoon Kim;Eunha Chun;Eunju Ko

  • Application of bootstrap method in conservative estimation of reliability with limited samples

    Victor Picheny;Nam Ho Kim;Raphael T. Haftka

  • Multifidelity Surrogate Based on Single Linear Regression

    Yiming Zhang;Nam H. Kim;Chanyoung Park;Raphael T. Haftka

  • Design sensitivity analysis for sequential structural–acoustic problems

    Nam H. Kim;Jun Dong;Kyung K. Choi;N. Vlahopoulos

  • Numerical method for shape optimization using meshfree method

    N.H. Kim;K.K. Choi;M.E. Botkin

  • Meshless shape design sensitivity analysis and optimization for contact problem with friction

    N. H. Kim;K. K. Choi;J. S. Chen;Y. H. Park

  • Review of statistical model calibration and validation—from the perspective of uncertainty structures

    Guesuk Lee;Wongon Kim;Hyunseok Oh;Byeng D. Youn

  • DESIGN SENSITIVITY ANALYSIS AND OPTIMIZATION OF NONLINEAR TRANSIENT DYNAMICS

    Nam H. Kim;Kyung K. Choi

  • Prognostics and Health Management of Engineering Systems: An Introduction

    Nam-Ho Kim;Dawn An;Joo-Ho Choi

Frequent Co-Authors

Raphael T. Haftka
Raphael T. Haftka University of Florida
Kyung K. Choi
Kyung K. Choi University of Iowa
W. Gregory Sawyer
W. Gregory Sawyer Moffitt Cancer Center
Tony L. Schmitz
Tony L. Schmitz University of Tennessee at Knoxville
S. Balachandar
S. Balachandar University of Florida
Sang Bok Lee
Sang Bok Lee University of Maryland, College Park
Jiun-Shyan Chen
Jiun-Shyan Chen University of California, San Diego
Christophe Pierre
Christophe Pierre Stevens Institute of Technology
Fuh-Gwo Yuan
Fuh-Gwo Yuan North Carolina State University
Gary W. Rubloff
Gary W. Rubloff University of Maryland, College Park

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