• Assistant Professor, Industrial and Systems Engineering
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Jaesung Lee headshot

Educational Background

  • Ph.D., Industrial and Systems Engineering, University of Wisconsin – Madison, 2022
  • M.S. Statistics, University of Wisconsin – Madison, 2022
  • M.S. Management Engineering, Korea Advanced Institute of Science and Technology, 2013
  • B.S. Industrial Systems and Information Engineering, Korea University, 2011

Research Interests

  • Dr. Jaesung Lee’s research focuses on data science in the application of advanced engineering processes and systems. Specifically, he works on establishing statistical and machine learning methods. His research interests include modeling, analysis, design and control of emerging advanced manufacturing processes, operational planning and control methods for advanced production systems, and IoT-enabled smart manufacturing, service and health care systems.

Selected Publications

  • J. Lee, C. Wang, X. Sui, S. Zhou, and J. Chen, "Landmark-embedded Gaussian process with applications for functional data modeling," IISE Transactions, vol. 54, no. 11, pp. 1033-1046, 2022.
  • J. Lee, S. Zhou, and J. Chen, "Statistical modeling and analysis of k-layer coverage of two-dimensional materials in inkjet printing processes," Technometrics, vol. 63, no. 3, pp. 410–420, 2021.
  • J. Lee, J. Son, S. Zhou, and Y. Chen, "Variation source identification in manufacturing processes using Bayesian approach with sparse variance components prior," IEEE Transactions on Automation Science and Engineering, vol. 17, no. 3, pp. 1469–1485, 2020.
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