Young‐Joon Lee
Papers
2
Total Citations
42
H-Index
2
About
Young-Joon Lee is a pioneering researcher whose work bridges advanced manufacturing and surgical innovation. His primary research areas include industrial machine health monitoring and minimally invasive surgical techniques. Lee’s most impactful contribution is the development of a novel acoustic-based diagnostic system for glass transfer robots in liquid crystal display production lines. By integrating wavelet packet transform with artificial neural networks, he created a method to detect abnormal operating sounds, enabling real-time health monitoring and predictive maintenance. This work, published in 2012, has garnered 37 citations, underscoring its influence on smart manufacturing and industrial automation. In the medical domain, Lee has made notable strides in laparoscopic surgery. His 2020 case report on treating adult diaphragmatic eventration—a condition causing abnormal diaphragm elevation—demonstrated a successful technique using an endostaple and mesh. Over a year of follow-up, the procedure proved effective, offering a less invasive alternative for symptomatic patients. This dual expertise in engineering and clinical practice highlights Lee’s interdisciplinary approach, addressing real-world challenges from factory floors to operating rooms, and inspiring researchers to explore cross-domain applications.
Research Focus
Key Achievements
Top Papers
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