Suhwan Jeong
Papers
3
Total Citations
44
H-Index
2
About
Suhwan Jeong is a leading researcher at the intersection of robotics, digital twin technology, and sustainable manufacturing. His work focuses on developing intelligent automation systems for high-risk industrial environments, particularly in nuclear power plants, where he pioneers the use of digital twins and deep reinforcement learning to enable robots to perform dangerous maintenance tasks. His highly cited 2024 study on a robotic automation system for confined workspaces (21 citations) demonstrates how AI-driven robots can replace human workers in dirty, dangerous, and demanding jobs, significantly improving safety and reducing costs. Jeong is also a key voice in the Industry 4.0 transformation, with his 2023 critical review on smart factories and ESG perspectives (21 citations) providing a roadmap for aligning advanced manufacturing with environmental, social, and governance goals. His work on single-port enclosure automation further showcases his commitment to practical, deployable solutions for complex industrial challenges. With a growing citation impact, Jeong is shaping the future of safe, sustainable, and intelligent automation.
Research Focus
Key Achievements
Top Papers
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