Yuhyeong Jeong
Papers
1
Total Citations
23
H-Index
1
About
Yuhyeong Jeong is a researcher at the forefront of intelligent manufacturing and welding process monitoring, specializing in the integration of machine vision, infrared thermography, and artificial neural networks. His most cited work, “Prediction of internal welding penetration based on IR thermal image supported by machine vision and ANN-model during automatic robot welding process” (2024, 23 citations), addresses a critical challenge in welding quality control. By replacing traditional subjective and costly evaluation methods with real-time, data-driven monitoring of the weld pool, Jeong has pioneered a non-destructive approach that enhances both objectivity and timeliness in automated welding. His contributions bridge the gap between advanced sensing technologies and practical industrial applications, offering a scalable solution for defect prediction and process optimization. Jeong’s research is particularly notable for its interdisciplinary fusion of thermal imaging, computer vision, and deep learning, positioning him as an emerging leader in smart welding systems. His work holds significant promise for improving efficiency and reliability in robotic manufacturing environments, making him a key figure to watch in the evolution of Industry 4.0 process control.
Research Focus
Key Achievements
Top Papers
- 1