World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
39
Citations
7516
World Ranking
7605
National Ranking
2088

Research.com Recognitions

  • 2020 - Member of the National Academy of Engineering For development and implementation of innovative digital manufacturing technologies and system architectures.
  • 2008 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2004 - Fellow of the American Society of Mechanical Engineers
  • 2002 - ASME Gustus L. Larson Memorial Award

Overview

Thomas R. Kurfess is a researcher affiliated with Oak Ridge National Laboratory in the United States. Their work spans the field of engineering, with a focus on several subfields including mechanical engineering, industrial and manufacturing engineering, automotive engineering, computer networks and communications, and biomedical engineering.

Their research centers on various topics related to manufacturing and materials science. Key areas of focus include additive manufacturing materials and processes, additive manufacturing and 3D printing technologies, manufacturing process and optimization, advanced machining processes and optimization, digital transformation in industry, high entropy alloys studies, and industrial vision systems and defect detection.

Thomas R. Kurfess has published extensively, with notable papers including:

  • "Mechanical properties and microstructure of 316L stainless steel produced by hybrid manufacturing," 2020, Journal of Materials Processing Technology
  • "A Review of Modern Communication Technologies for Digital Manufacturing Processes in Industry 4.0," 2020, Journal of Manufacturing Science and Engineering
  • "Edge-cloud computing performance benchmarking for IoT based machinery vibration monitoring," 2020, Manufacturing Letters
  • "A Review of Manufacturing Process Control," 2020, Journal of Manufacturing Science and Engineering
  • "Evaluation of the trends in jobs and skill-sets using data analytics: a case study," 2022, Journal Of Big Data

They frequently collaborate with several co-authors, including Christopher Saldaña, Thomas Feldhausen, Kyle Saleeby, Katherine Fu, and Horacio Ahuett-Garza.

Thomas R. Kurfess has published regularly in several academic venues, among which are:

  • Journal of Manufacturing Science and Engineering
  • Manufacturing Letters
  • The International Journal of Advanced Manufacturing Technology
  • Smart and Sustainable Manufacturing Systems
  • Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering; Manufacturing Equipment and Automation

Their professional recognitions include membership in the National Academy of Engineering awarded in 2020, credited for the development and implementation of innovative digital manufacturing technologies and system architectures.

Additional honors include being named Fellow of the American Association for the Advancement of Science in 2008, Fellow of the American Society of Mechanical Engineers in 2004, and receiving the ASME Gustus L. Larson Memorial Award in 2002.

Best Publications

  • Robotics and Automation Handbook

    Thomas R. Kurfess

  • BEARING CONDITION DIAGNOSTICS VIA VIBRATION AND ACOUSTIC EMISSION MEASUREMENTS

    J. Shiroishi;Y. Li;S. Liang;T. Kurfess

  • A brief discussion on the trends of habilitating technologies for Industry 4.0 and Smart manufacturing

    H. Ahuett-Garza;T. Kurfess

  • Rolling element bearing diagnostics in run-to-failure lifetime testing

    T. Williams;X. Ribadeneira;S. Billington;T. Kurfess

  • Adaptive Prognostics for Rolling Element Bearing Condition

    Y. Li;S. Billington;C. Zhang;T. Kurfess

  • A fog computing-based framework for process monitoring and prognosis in cyber-manufacturing

    Dazhong Wu;Shaopeng Liu;Li Zhang;Janis Terpenny

  • STOCHASTIC PROGNOSTICS FOR ROLLING ELEMENT BEARINGS

    Y. Li;T.R. Kurfess;S.Y. Liang

  • Part data integration in the Shop Floor Digital Twin: Mobile and cloud technologies to enable a manufacturing execution system

    Pedro Daniel Urbina Coronado;Roby Lynn;Wafa Louhichi;Mahmoud Parto

  • Tool life predictions in milling using spindle power with the neural network technique

    Cyril Drouillet;Cyril Drouillet;Jaydeep Karandikar;Jaydeep Karandikar;Chandra Nath;Anne-Claire Journeaux;Anne-Claire Journeaux

  • Online quality inspection using Bayesian classification in powder-bed additive manufacturing from high-resolution visual camera images

    Masoumeh Aminzadeh;Thomas R. Kurfess

  • Study of spindle power data with neural network for predicting real-time tool wear/breakage during inconel drilling

    Raphael Corne;Raphael Corne;Chandra Nath;Mohamed El Mansori;Thomas Kurfess

  • Dynamic Prognostic Prediction of Defect Propagation on Rolling Element Bearings

    Y. Li;S. Billington;C. Zhang;T. Kurfess

  • Introduction to the design rules for Metal Big Area Additive Manufacturing

    Clayton Greer;Andrzej Nycz;Mark Noakes;Brad Richardson

  • Quality and inspection of machining operations: Tool condition monitoring

    John T. Roth;Dragan Djurdjanovic;Xiaoping Yang;Laine Mears

  • Development and Control of an Automated Robotic Weld Bead Grinding System

    D. E. Whitney;A. C. Edsall;A. B. Todtenkopf;T. R. Kurfess

  • Sampling uncertainty in coordinate measurement data analysis

    Woncheol Choi;Thomas R. Kurfess;Jonathan Cagan

  • Grain Refinement and Mechanical Properties of CP‐Ti Processed by Warm Accumulative Roll Bonding

    Justin L. Milner;Fadi Abu-Farha;Cristina Bunget;Thomas Kurfess

  • Verification of a Dynamic Grinding Model

    T. R. Kurfess;D. E. Whitney;M. L. Brown

  • International Assessment of Research and Development in Micromanufacturing

    Kornel F Ehmann;David Bourell;Martin L Culpepper;Thom J Hodgson

  • Rethinking Additive Manufacturing and Intellectual Property Protection

    Thomas Kurfess;William J. Cass

Frequent Co-Authors

Richard Vuduc
Richard Vuduc Georgia Institute of Technology
Fahrettin Levent Degertekin
Fahrettin Levent Degertekin Georgia Institute of Technology
Steven Y. Liang
Steven Y. Liang Georgia Institute of Technology
Dazhong Wu
Dazhong Wu University of Central Florida
Kamlakar P Rajurkar
Kamlakar P Rajurkar University of Nebraska–Lincoln
Marc J. Madou
Marc J. Madou University of California, Irvine
Richard E. DeVor
Richard E. DeVor University of Illinois at Urbana-Champaign
Mohamed El Mansori
Mohamed El Mansori Arts et Metiers Institute of Technology
David L. Bourell
David L. Bourell The University of Texas at Austin
Kornel F. Ehmann
Kornel F. Ehmann Northwestern University

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 Thomas R. Kurfess

Trending Scientists

Recently Published Articles