Inn Seock Kim
Papers
1
Total Citations
25
H-Index
1
About
Inn Seock Kim is a pioneering researcher in nuclear safety and disaster robotics, whose work bridges the gap between advanced technology and critical infrastructure protection. His primary research areas include nuclear power plant safety, human-robot interaction in hazardous environments, and quantitative risk assessment for emergency response systems. Kim’s most notable contribution is his development of a novel framework to quantify the safety benefits of disaster robots, particularly for beyond-design-basis accidents like those at Fukushima. His 2017 paper, “A new approach to quantify safety benefits of disaster robots,” has garnered 25 citations and is widely recognized for establishing a methodology that enables utilities and regulators to evaluate the cost-effectiveness and risk-reduction potential of robotic deployments in nuclear settings. This work has influenced both academic discourse and practical policy, as it provides a systematic way to justify investments in remote response technology. Kim’s research is essential for students and professionals interested in the intersection of robotics, nuclear engineering, and safety science, offering a data-driven path to more resilient energy infrastructure.
Research Focus
Key Achievements
Top Papers
- 1A new approach to quantify safety benefits of disaster robots25 citations · 2017