Zhenyu "James" Kong

Ralph H. Bogle Professor

Zhenyu "James" Kong

201 Durham Hall
(MC 0118)
1145 Perry Street
Blacksburg, VA 24061

zkong@vt.edu

540-231-9762

Curriculum Vitae

ResearchGate

GOOGLE SCHOLAR

SMART Lab

Research Areas

Main Area: Manufacturing Systems Engineering

Machine learning and AI-based cyber-physical manufacturing systems
Real-time sensing, advanced analytics, and process monitoring/control for smart manufacturing.
Modeling, synthesis, and diagnosis for large and complex manufacturing systems.

Education

Ph.D., Industrial and Systems Engineering, University of Wisconsin-Madison, 2004
M.S., Mechanical Engineering, Harbin Institute of Technology, China, 1995
B.S., Mechanical Engineering, Harbin Institute of Technology, China, 1993

Professional History

Professor, Department of Industrial and Systems Engineering, Virginia Tech, 08/2019 - present
Associate Professor, Department of Industrial and Systems Engineering, Virginia Tech, 08/2013 – 08/2019
Associate Professor, School of Industrial Engineering and Management, Oklahoma State University, 07/2012 – 08/2013
Assistant Professor, School of Industrial Engineering and Management, Oklahoma State University, 08/2006 - 06/2012
Senior Research Engineer, Dimensional Control Systems, Troy, Michigan, 07/2004 - 07/2006
Research Assistant, University of Wisconsin-Madison, 09/2000 - 07/2004
Research Fellow, University of Michigan-Ann Arbor, 11/1998 - 09/2000

Recent Courses Taught

ISE 6284: Advanced Topics in Manufacturing Systems Engineering
ISE 5984: Sensing and Data Analytics for Complex Systems
ISE 4984: Data Analytics in Manufacturing and Service Systems
ISE 4404: Statistical Quality Control
ISE 4264: Industrial Automation
ISE 3214: Facilities and Logistics
ISE 2214: Manufacturing Process Laboratory

Selected Recent Publications

Please click a title in orange to view the abstract.

Shen, B., Xie, W., and Kong, Z.J., 2020, Clustered Discriminant Regression for High Dimensional Data Feature Extraction and its Application in Additive Manufacturing, accepted by IEEE Trans. on Automation Science and Engineering.
Liu, C., Kong, Z.J., Babu, B., Joslin, C., and Ferguson, J., 2020, An Integrated Manifold Learning Approach and its Application for Online Process Monitoring of Additive Manufacturing, accepted by IISE Transactions.
Liu, J.P., Zheng, J., Rao, P. and Kong, Z.J., 2020. Machine learning–driven in situ process monitoring with vibration frequency spectra for chemical mechanical planarization. International Journal of Advanced Manufacturing Technology, pp.1-16, DOI:10.1007/s00170-020-06165-1.
David Garcia, D., Hartley, W.D., Hunter A.R., Griffiths, R.J., Wang, R., Kong, Z.J., Zhu, Y., and Yu, H., 2020, “In situ investigation into temperature evolution and heat generation during additive friction stir deposition: A comparative study of Cu and Al-Mg-Si,” Additive Manufacturing. Vol. 34, p.101386, DOI: 10.1016/j.addma.2020.101386.
Haring, P. A., Singh, M., Koh, M., Cesewski, E., Dillard, D. A., Kong, Z. J., and Johnson, B. N., 2020, “Real-time characterization of hydrogel viscoelastic properties and solgel phase transitions using cantilever sensors,” Journal of Rheology, Vol. 6, No., 4, pp. 837-850.

Go to my Google Scholar and ResearchGate for other publications.

Research Project Sponsors

Department of Defense
Department of Education
Office of Naval Research
Department of Energy/Clean Energy Smart Manufacturing Innovation Institute
National Science Foundation
Department of Transportation
National Institute of Standards and Technology
Commonwealth Center for Advanced Manufacturing

Professional Affiliations

Fellow of Institute of Industrial and Systems Engineers (IISE)
Member of Institute for Operation Research and the Management Sciences (INFORMS)
Member of Institute of Electrical and Electronics Engineers (IEEE)
Member of American Society of Mechanical Engineering (ASME)
Member of Society of Manufacturing Engineers (SME)

Honors / Awards

Finalist of the Best Paper Award, Quality Statistics and Reliability (QSR) Section, INFORMS Annual Meeting, Nov. 8-11, 2020.
Fellow of the Institute of Industrial and Systems Engineers (IISE), 2020.
Dean’s Award for Excellence in Research, College of Engineering, Virginia Tech, Spring 2019.
APM Outstanding Faculty Award, Grado Department of Industrial and Systems Engineering, Virginia Tech, Spring 2018.
Best Paper Award, IISE Transactions (Quality & Reliability Engineering), 2018 (paper J13 in Sec. VII).
Best Paper award, Quality Statistics and Reliability (QSR) Section, INFORMS Annual Meeting, Houston, TX, USA, October 22-25, 2017 (paper C2 in Sec. VII).
Best Paper Award, Division of Quality Control and Reliability Engineering (QCRE), IISE Annual Research Conference, Pittsburgh, PA, USA, May 21-23, 2017 (paper C5 in Sec. VII).
Best Applications Paper Honorable Mention Designation, IISE Transactions (Design and Manufacturing), 2017 (paper J14 in Sec. VII).
Best Applications Paper Honorable Mention Designation, IISE Transactions (Quality and Reliability Engineering), 2017 (paper J18 in Sec. VII).
Best Applications Paper Honorable Mention Designation, IISE Transactions (Quality and Reliability Engineering), 2015 (paper J24 in Sec. VII).
Research featured by ISE Magazine, Vol. 51, No. 1, January 2019 (paper J3 in Sec. VII).
Research featured by ISE Magazine, Vol. 48, No. 9, September 2016 (paper J13 in Sec. VII).
Research featured by ISE Magazine, Vol. 47, No. 10, September 2015 (paper J18 in Sec. VII).
Research featured by ISE Magazine, Vol. 46, No. 9, September 2014 (paper J24 in Sec. VII).
Halliburton Outstanding Faculty Award, College of Engineering, Architecture and Technology, Oklahoma State University, 2013
Richard S and Harriet K. Fein Scholarship, the University of Wisconsin-Madison, 2004