Byeong-Ju Jin

Mokpo National University, Ministry of SMEs and Startups

Papers

Total Citations

H-Index

About

Byeong-Ju Jin is a researcher specializing in robotic welding automation, seam tracking systems, and weld quality control. His work focuses on developing intelligent algorithms and predictive models to enhance the precision and reliability of automated welding processes, particularly in Gas Metal Arc (GMA) and Metal Inert Gas (MIG) welding—critical technologies for modern manufacturing industries. Jin’s most influential contribution is his study on the modified Hough algorithm for image processing in weld seam tracking (2015, 59 citations), which significantly advanced the ability to detect and follow weld joints in real time. He has also explored optimization algorithms for seam tracking and developed predictive models to control weld quality by adjusting welding parameters, addressing the industry’s growing demand for defect-free, automated welding systems. His research is pivotal for improving welding quality and production capacities in robotic environments. With a total of 70 citations across his top works, Jin’s contributions are foundational for engineers and researchers working on intelligent welding automation and process optimization.