Resilience of Cyber-physical System: Methodologies and Applications
网络物理系统的韧性研究：方法与应用
A Cyber-Physical Systems (CPS) loosely refers to the critical system that has a cyber layer and a physical layer. Such systems are increasingly prevalent across sectors such as transportation, healthcare, energy, and manufacturing, making the understanding and enhancement of their resilience vital. This session will focus on methodologies for assessing resilience in CPS, optimization techniques, design principles, and practical case studies. We welcome those interested in the subject matter to join this session and collectively advance the research and application of resilience in CPS.
网络物理系统（CPS）宽泛地指代的是拥有网络层和物理层的关键系统。如今，这类系统在交通、医疗、能源和制造等多个行业中应用越来越广泛，因此理解并提高其韧性显得尤为重要。本专题将重点讨论评估CPS韧性的方法，优化技术，设计原则和实际案例研究。我们欢迎对此主题感兴趣的学者参加本专题，共同推进网络物理系统韧性的研究和应用。
Topics of interest for submission include, but not limited to:
●Advanced Methodologies for Assessing CPS
Resilience 评估CPS韧性的方法论
●Innovative Design Principles for Enhancing CPS Resilience 创新的CPS韧性增强设计
●Machine Learning in CPS Resilience 机器学习在CPS韧性中的作用
●Mitigating Cyber Threats 缓解网络威胁
●Interdependency and Resilience in Multi-system CPS Structures 多系统CPS结构中的互依赖性和韧性
●Case Studies: Applications of CPS and its resilience in Critical
Industries/Infrastructures 案例研究：关键行业/基础设施的CPS及其韧性
Chair: Jiaxiang Cai, National University of Singapore, Singapore
Jiaxiang Cai received the B.E. degree in hydraulic engineering in 2012 and the M.S. degree in environmental science and engineering in 2015, both from Tsinghua University. He received the Ph.D. degree in industrial systems engineering and management in 2021 from National University of Singapore (NUS). He is currently a Research Fellow at the Department of Industrial Systems Engineering and Management, NUS. His research interests include reliability engineering, industrial statistics, CPS design and modelling. (E-mail: isecaij@nus.edu.sg)
蔡加祥本科与硕士均就读于清华大学，并于2012和2015年分别获得水利工程学士学位和环境科学与工程硕士学位。 博士就读于新加坡国立大学，并于2021年获得工业系统工程与管理博士学位。 目前在新加坡国立大学工业系统工程与管理系从事博士后研究。 研究方向包括可靠性工程、工业统计、网络物理系统设计和建模。
Chair: Bingxin Yan, Beihang University, China
Bingxin Yan received the B.E. degree in safety engineering in 2018 and the Ph.D. degree in systems engineering in 2023, both from the School of Reliability and Systems Engineering at Beihang University. Her research interests include reliability engineering and applied stochastic processes. (E-mail: yanbingxin124@163.com)
闫冰心本科与博士均就读于北京航空航天大学可靠性与系统工程学院，并于2018年和2023年分别获得安全工程学士学位与系统工程博士学位。研究方向包括可靠性工程与应用随机过程。
Submission Portal
If you are interested in the special session, please submit
your paper or abstract here
https://www.zmeeting.org/submission/srse2023 and choose special session 8.
For any questions, please mail the organizers or conference secretary srse@sciei.org.
© SRSE 2019-2024 | Hangzhou, Zhejiang, China | Email: srse@sciei.org