… Dr. Zongyao Chen received his B.S. and M.S. in Electrical Engineering in 2009 and 2012 from Shanghai Jiaotong University. He received his Ph.D. from the University of Tennessee in November 2018. During his Ph.D. study, he worked with the welding and joining research group at oak ridge national lab and focused on applying artificial intelligence and computer vision technology to welding manufacturing and proposed the Reversed Electrode Image (REI) method to extract the features and penetration of welding pool during GTAW process in his doctoral dissertation. He is currently working as a Research Scientist at the R&D Centre of Air Liquide in Delaware, USA. Dr. Chen’s research interests include robotics, welding automation, computer vision, machine learning and other AI applications in industry.
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