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Director


JK5s.jpg

 

John S. Kang, Ph.D.

 

Director, Manufacturing Intelligence Lab.

Associate Professor, Department of Mechanical Engineering
San Diego State Univesiry

 

Office: E-425A

Tel: (619) 594-1874

Fax: (619) 594-3599

Email: jkang4 at sdsu.edu

 

 

Biosketch


Dr. Kang is an Associate Professor in the Department of Mechanical Engineering at San Diego State University and the Director of the Manufacturing Intelligence Lab (MIL). His research focuses on developing Manufacturing Intelligence by integrating multimodal sensing, artificial intelligence, physics-informed AI, and autonomous decision-making to create smart manufacturing systems. His research integrates multimodal sensing, machine learning, computer vision, and autonomous manufacturing, with applications in additive manufacturing, shipbuilding, robotics, semiconductor manufacturing, infrastructure health monitoring, and biotechnology. Prior to joining SDSU, Dr. Kang developed advanced optical proximity correction technologies for next-generation semiconductor manufacturing at Intel and previously led the development of AI-based optical defect inspection and characterization systems that were successfully commercialized to improve manufacturing yield in Samsung's display production. He received his Ph.D. in Mechanical Engineering, M.S. in Management, and a Certificate in Management of Technology (MOT) from the Georgia Institute of Technology.

 

Current Appointments


Education


Work and Research Experiences


Teaching


  • ME 696 Smart Manufacturing
  • ME 230 Basics of Mechatronics
  • ME 202 Computer Programming Applications

Awards and Honors


  • Division Recognition Award (In recognition of valuable contributions), Intel Corporation, 2016
  • Winner, Best Poster Presentation Award, The 47th International Symposium on Microelectronics, 2014
  • 1st Prize, Robotics Innovations Competition and Conference (RICC), 2011
  • Honor of Seoul National University Sponsor, Seoul National University, 2008
  • 1st Prize, FPD Inspection Programming Contest, Chungnam Display R&D Cluster and Institute of Control, Robotics and Systems, 2007