ICIEA 2025 Special Session
SS18: Synergies between Nuclear Power and Energy Industries in Artificial Intelligence Applications
Organized by:
Organizer 1: Ming Yang
Email: mingyang@szu.edu.cn
Affiliation: Shenzhen University, China
Organizer 2: Sijuan Chen
Email: chensijuan@szu.edu.cn
Affiliation: Shenzhen University, China
Organizer 3: Wenlin Wang
Affiliation: Shenzhen Technology University, China
Organizer 4: Jun Yang
Email: youngjun51@hotmail.com
Affiliation: South China University of Technology, China
Organizer 5: Hidekazu Yoshikawa
Email: yosikawa@kib.biglobe.ne.jp
Affiliation: Kyoto University, Japan
Organizer 6: Takeshi Matsuoka
Email: mats@cc.utsunomiya-u.ac.jp
Affiliation: Utsunomiya University, Japan
Organizer 7: Morten Lind
Email: mli@elektro.dtu.dk
Affiliation: Technical University of Denmark, Denmark
Organizer 8: Zhihui Xu
Email: xu_zhihui_cool@126.com
Affiliation: Key Laboratory of Nuclear Power Safety Technology and Equipment, China Nuclear Power Engineering Co., Ltd., China
This Special Session explores the transformative role of Artificial Intelligence (AI) technologies in the optimization and management of complex industrial systems, with a specific focus on nuclear power and energy systems. AI has emerged as a critical enabler in enhancing the efficiency, safety, and reliability of these industries by providing advanced solutions for state monitoring, fault diagnosis, decision support, maintenance planning, and emergency response. The session will bring together experts and practitioners to present the latest research and case studies, demonstrating how AI-driven approaches are revolutionizing these high-stakes environments. Topics will include the application of machine learning algorithms for predictive maintenance, AI-based fault detection systems, real-time decision support tools, and the integration of AI in emergency response frameworks. By fostering discussion on these cutting-edge technologies, this session aims to highlight the growing impact of AI in addressing the challenges and opportunities of modern industrial operations, particularly in the critical nuclear and energy sectors.
With the latest advancements in AI, new opportunities have emerged for enhancing the safety and economic performance of safety-critical industrial systems like nuclear power plants. The digitalization and intelligent development of nuclear plants should draw on the successful applications of AI in other complex industrial systems, while complex systems can also benefit from the nuclear industry's strong focus on safety and reliability. This mutual exchange of ideas and technical expertise will foster the development of safer and more sustainable AI technologies, promoting collaboration and innovation across both fields.