• 1. Reliability and Resilience Engineering for Smart City Critical Infrastructures Under Climate Change
  气候变化下智慧城市关键基础设施的可靠性与韧性工程
• 
  2. Cybersecurity and Functional Safety Co-Design for Autonomous and Intelligent Transportation Systems
  自主智能交通系统的网络安全与功能安全协同设计
• 
  3. Reliability Modeling and Life-Cycle Optimization for New Energy Vehicle Charging Infrastructure
  新能源汽车充电基础设施的可靠性建模与全生命周期优化
• 
  4. Data-Driven Reliability Engineering for Low-Altitude Economy: Drones and eVTOL Aircraft
  面向低空经济的数据驱动可靠性工程：无人机与电动垂直起降飞行器
• 
  5. Human-AI Collaboration in Reliability Risk Analysis and Maintenance Decision-Making
  人机协同在可靠性风险分析与维修决策中的应用
• 
  6. Uncertainty Quantification for Multiphysics Reliability of Semiconductor and Electronic Manufacturing Systems
  半导体与电子制造系统多物理场可靠性的不确定性量化
• 
  7. Resilience and Risk Mitigation of Industrial Cyber-Physical Systems Against Cascading Failures
  工业信息物理系统抵御级联失效的韧性与风险防控
• 
  8. Generative AI and Large Language Models for Automated FMEA and Reliability Data Analytics
  生成式 AI 与大语言模型在自动化 FMEA 及可靠性数据分析中的应用

 

及其他更多主题...

•  Proposal Form Download Here
  
• - Invited sessions consist of 5-8 thematically related invited papers. Invited papers are submitted and reviewed following the same process as contributed papers, and are included in the conference proceeding.
• Special-session proposals should be submitted by the prospective organizer(s) who will commit to promoting and handling the review process of their special session as Chairs or Co-Chairs of the event.
  
  Please provide the following information:
  ● Title;
  ● Name(s) of organizer(s);
  ● Email of main contact person;
  ● Brief bio(s) of organizer(s);
  ● Brief description;
  ● Related topics;
  ● Potential participants;

•  Confirmed Special Sessions
  
• - SS1: Industrial AI-Driven Operation and Maintenance
  - SS2: Multiphysics Modeling, Uncertainty Quantification, and Intelligent Health Management for Highly Reliable Components and Systems
  - SS3: Physics-Informed Machine Learning for Prognostics and Health Management of Industrial Equipment
  - SS4: Innovation and Practice of Data-Driven Soft Computing Methods in Renewable Energy Forecasting
  - SS5: Multimodal Foundation Models for Digital Twin–Integrated Prognostics and Health Management of Complex Engineering Systems
  - SS6: Explainable AI for Prognostics and Health Management of Aerospace and Avionic Systems
  - SS7: Artificial Intelligence for Fault Diagnosis and Prognostics of Complex Engineering Systems
  - SS8: Belief Reliability Theory and Applications: Recent Advances, Methods, and Practices
  - SS9: Physics-Informed Digital Twin for Reliability Assessment of Nuclear and Renewable Energy Systems
  - SS10: Reliability, Safety, and Uncertainty Management in Aviation and New Energy Systems
  - SS11: Resilience of Oil and Natural Gas Pipeline Network Systems to Multi-Source Hazards and Cascading Failures
  - SS12: Reliability and Resilience of Renewable Energy Systems under Uncertainty
  - SS13: Intelligent Operation & Maintenance and Reliability for Ships and Marine Engineering Equipment
• - SS14: Resilience and Risk Mitigation of Industrial Cyber-Physical Systems Against Cascading Failures
• - SS15: Secondary Risks, Cascading Effects, and Resilient Decision-Making in Complex Engineering and Infrastructure Systems
•