• Associate Professor, Mechanical Engineering
ChaBum Lee

Educational Background

  • Postdoctoral research, Mechanical Engineering, University of South Carolina — 2013
  • Ph.D., Mechatronics, Gwangju Institute of Science and Technology — 2012
  • M.S., Mechatronics, Gwangju Institute of Science and Technology — 2008
  • B.S., Mechanical Engineering, Chung-Ang University — 2006

Research Interests

    • Semiconductor metrology and inspection
    • Interferometry for length, surface and volume measurements.
    • Three-dimensional imaging
    • Machine tool metrology
    • Dynamic system (mechatronics) metrology and inspection
    • Robotic machining processes
    • Magnetic/Electric/Optical spectroscopy

Awards & Honors

  • 2021 Emerging Leaders, Institute of Physics
  • 2020 ASME Blackall Machine Tool and Gage Award
  • 2019 Best Alumni Award, GIST
  • 2017 Kinslow Research Award (Honorable Mention) at TN Tech
  • 2017 American Society for Precision Engineering Best Researcher Award
  • 2017 Research and Economic Development Award at TN Tech

Selected Publications

  • Heebum Chun, Jingyan Wang, Jungsub Kim, and ChaBum Lee, Wafer Particle Inspection Technique Using Computer Vision based on Color Space Transform Model, International Journal of Advanced Manufacturing Technology (2023) https://doi.org/10.1007/s00170-023-11888-y 
  • William Park, Heebum Chun, Phuc Nguyen, and ChaBum Lee, A Differentially Amplified Hall Effect Displacement Sensor for Positioning Control of a Long-Range Flexure Stage, Review of Scientific Instruments, Rev Sci Instrum 94, 075003 (2023). 
  • Yinhe Wang, Xiangyu Guo, Jungsub Kim, Pengfei Lin, Kuan Lu, Hyunjae Lee, and ChaBum Lee, A Single Camera Unit-based Three-Dimensional Surface Imaging Technique, International Journal of Advanced Manufacturing Technology (2023) https://doi.org/10.1007/s00170-023-11866-4 
  • Jungsub Kim, Heebum Chun, Phuc Nguyen, Bruce Li-Jung Tai, and ChaBum Lee, Geometric part error and material property profile separation technique of the additively manufactured and post-processed rods, Review of Scientific Instruments, 94, 035109 (2023).
  • Jungsub Kim, Songhyun Joo, Jungsoo Nam, Mathew Kuttolamadom, and ChaBum Lee, Non-destructive surface and subsurface characterization of the machined parts by using fiber optic eddy current sensor, Journal of Manufacturing Processes, 95, 492-496 (2023)