Track 1: Intelligent Computing Theory and Algorithms
Machine Learning and Deep Learning
Intelligent optimization algorithm
Data-driven modeling and simulation
Pattern recognition and classification
Image processing and computer vision
Neural networks and deep learning
Reinforcement learning and decision-making
Generative AI and structural engineering applications
Transfer learning and small sample learning
Interpretable artificial intelligence
Track 2: Structural Engineering and Design
Structural analysis and design theory
Structural seismicity and isolation
Structural health monitoring and diagnosis
Structural damage identification and assessment
Structural reliability and durability
Steel structures and composite structures
Concrete structures
Bridge and tunnel engineering
Underground engineering and rock and soil structures
Structural nonlinear analysis
Track 3: Intelligent Computing Empowering Structural Engineering
AI-driven structural health monitoring
Intelligent structural design and optimization
Data-driven structural damage identification
Machine learning-based structural reliability analysis
Application of deep learning in seismic engineering
Application of computer vision in structural inspection
Digital twin and intelligent operation and maintenance
Structural intelligent control
Multi-sensor fusion and structural monitoring
Intelligent disaster prevention and mitigation and risk assessment