Kyung Bae Jang
Papers
3
Total Citations
11
H-Index
2
About
Dr. Kyung Bae Jang is a researcher at the forefront of nuclear safety and human-robot interaction, specializing in the integration of artificial intelligence and machine learning into high-stakes nuclear environments. His work focuses on developing intelligent systems for nuclear power plant operations, accident management, and disaster response. Dr. Jang’s most cited paper (6 citations) explores the cognitive architecture of AI-driven robots for managing both normal operations and severe accidents in nuclear power plants, employing random sampling simulations to model complex scenarios. He has further advanced human-machine interface (HMI) assessment in nuclear control rooms using modified ML algorithms (3 citations), and analyzed the biomechanics of humanoid robotics for nuclear disaster management, including core melting scenarios (2 citations). By bridging robotics, AI, and nuclear engineering, Dr. Jang’s contributions are pivotal for enhancing safety and efficiency in one of the most demanding industrial domains. His work represents a critical step toward resilient, autonomous systems capable of operating in hazardous environments, offering valuable insights for researchers in nuclear safety, robotics, and AI applications.
Research Focus
Key Achievements
Top Papers
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