Seung Ki Moon
Papers
13
Total Citations
385
H-Index
8
About
Seung Ki Moon is a pioneering researcher at the intersection of advanced manufacturing, artificial intelligence, and digital twin technologies, with particular expertise in additive manufacturing (AM) and smart factory systems. His work has fundamentally advanced the field of laser-directed energy deposition (L-DED), where he has developed innovative multisensor fusion frameworks that enable real-time, in-situ quality monitoring and defect correction — capabilities that are critical for industrial-scale AM adoption. Moon's most influential contribution, his 2023 paper on multisensor fusion-based digital twins for localized quality prediction in robotic L-DED, has already garnered 124 citations, reflecting the field's urgent demand for intelligent process control solutions. By integrating acoustic, visual, and thermal sensor streams with machine learning algorithms, his research has dramatically improved defect detection accuracy beyond what single-sensor approaches can achieve. His adaptive dimension correction strategies and point cloud-based surface monitoring further demonstrate a comprehensive systems-level approach to manufacturing quality assurance. Beyond AM, Moon has made notable contributions to smart factory enablement in the automotive industry, addressing the accelerating transition to electric vehicles. With a growing citation record exceeding 370 citations across recent publications alone, his work is shaping the future of intelligent, self-correcting manufacturing systems worldwide.
Research Focus
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Top Papers
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