(Including but not limited to the following topics)
Track 1: Complex Systems and Reliability Engineering
Complex system modeling and simulation
Certainty reliability theory and applications
Uncertainty quantification and management
System reliability modeling and analysis
Networked system reliability and resilience
Information-physical system reliability
Reliability and safety of complex equipment
Reliability optimization design
Failure propagation and cascading failure analysis
Human reliability analysis
Track 2: Intelligent Engineering and Safety
AI-driven reliability and safety
Trustworthy intelligent systems
Machine learning in reliability engineering
Intelligent fault diagnosis and prediction
Deep learning and system health management
Predictive maintenance and health management (PHM)
Remaining life prediction
Intelligent operation and decision support
Interpretable AI and safety-critical systems
Robustness and fault tolerance of AI systems
Track 3: Cross-application of Reliability and Intelligence
AI for Reliability (Reliability for AI)
Reliability for AI (Intelligent Reliability)
Data-driven reliability assessment
Big data support for reliability analysis
Digital twins and system reliability
Edge intelligence and real-time monitoring
Federated learning and distributed reliability
Intelligent sensing and structural health monitoring
Autonomous system reliability and safety
Complex network resilience and recovery