World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
41
Citations
7827
World Ranking
6886
National Ranking
1880

Overview

John E. Renaud was affiliated with the University of Notre Dame in the United States. Their research spanned multiple fields, primarily focusing on engineering and medicine. Within these broader areas, their work addressed specialized subfields including mechanical engineering, pulmonary and respiratory medicine, and biomedical engineering.

The main topics of their research included cellular and composite structures, automotive and human injury biomechanics, and advanced theoretical and applied studies in material sciences and geometry. These topics reflected a multidisciplinary approach combining material sciences with biomechanics and medical engineering aspects.

Their publication record includes contributions to the following venues:

  • SAE technical papers on CD-ROM/SAE technical paper series

Among their documented publications, the recent paper titled SIMULTANEOUS TOPOGRAPHY OPTIMIZATION OF A VEHICLE HULL AND TOPOLOGY OPTIMIZATION OF THE ASSEMBLY INTERFACE FOR BLAST MITIGATION appeared in 2024 within the SAE technical paper series.

Frequent coauthors who collaborated with John E. Renaud included:

  • Huade Tan
  • J. A. Goetz
  • Andrés Tovar

Their body of work showed an integration of engineering principles with biomedical applications, likely contributing to advancements in both mechanical design for safety and health-related technologies. The combination of research topics such as cellular structures and automotive biomechanics suggests a focus on how materials and human body responses interact under various conditions.

Best Publications

  • Mechanical behavior of acrylonitrile butadiene styrene (ABS) fused deposition materials. Experimental investigation

    José F. Rodríguez;James P. Thomas;John E. Renaud

  • Uncertainty quantification using evidence theory in multidisciplinary design optimization

    Harish Agarwal;John E. Renaud;Evan L. Preston;Dhanesh Padmanabhan

  • Mechanical behavior of acrylonitrile butadiene styrene fused deposition materials modeling

    José F. Rodríguez;James P. Thomas;John E. Renaud

  • Characterization of the mesostructure of fused-deposition acrylonitrile-butadiene-styrene materials

    Jose F. Rodriguez;James P. Thomas;John E. Renaud

  • Multiobjective Collaborative Optimization

    Ravindra V. Tappeta;John E. Renaud

  • Response surface based, concurrent subspace optimization for multidisciplinary system design

    R. Sellar;S. Batill;J. Renaud

  • Automatic Differentiation in Robust Optimization

    J. Su;J. E. Renaud

  • Crashworthiness Design Using Topology Optimization

    Neal M. Patel;Byung-Soo Kang;John E. Renaud;Andrés Tovar

  • Trust Region Augmented Lagrangian Methods for Sequential Response Surface Approximation and Optimization

    José F. Rodríguez;John E. Renaud;Layne T. Watson

  • Update strategies for kriging models used in variable fidelity optimization

    Shawn E. Gano;John E. Renaud;Jay D. Martin;Timothy W. Simpson

  • Worst case propagated uncertainty of multidisciplinary systems in robust design optimization

    X. Gu;J. E. Renaud;S. M. Batill;R. M. Brach

  • Topology Optimization Using a Hybrid Cellular Automaton Method With Local Control Rules

    Andrés Tovar;Neal M. Patel;Glen L. Niebur;Mihir Sen

  • Ability of Objective Functions to Generate Points on Nonconvex Pareto Frontiers

    Achille Messac;Glynn J. Sundararaj;Ravindra V. Tappeta;John E. Renaud

  • Concurrent Subspace Optimization Using Design Variable Sharing in a Distributed Computing Environment

    Brett A. Wujek;John E. Renaud;Stephen M. Batill;Jay B. Brockman

  • Design of Fused-Deposition ABS Components for Stiffness and Strength

    José F. Rodrı́guez;James P. Thomas;John E. Renaud

  • Hybrid Variable Fidelity Optimization by Using a Kriging-Based Scaling Function

    Shawn E. Gano;John E. Renaud;Brian Sanders

  • Improved coordination in nonhierarchic system optimization

    J. E. Renaud;G. A. Gabriele

  • Decision-Based Collaborative Optimization

    Xiaoyu Gu;John E. Renaud;Leah M. Ashe;Stephen M. Batill

  • Approximation in nonhierarchic system optimization

    J. E. Renaud;G. A. Gabriele

  • Sequential approximate optimization using variable fidelity response surface approximations

    J. F. Rodríguez;V. M. Pérez;D. Padmanabhan;J. E. Renaud

  • New Adaptive Move-Limit Management Strategy for Approximate Optimization, Part 2

    B. A. Wujek;J. E. Renaud

Frequent Co-Authors

Layne T. Watson
Layne T. Watson Virginia Tech
Glen L. Niebur
Glen L. Niebur University of Notre Dame
Achille Messac
Achille Messac Howard University
Kazuhiro Izui
Kazuhiro Izui Kyoto University
Timothy W. Simpson
Timothy W. Simpson Pennsylvania State University
Mihir Sen
Mihir Sen University of Notre Dame
Shinji Nishiwaki
Shinji Nishiwaki Kyoto University
Eric J. Jumper
Eric J. Jumper University of Notre Dame

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Best Scientists Citing John E. Renaud