📚︎Track 1: Data Intelligence and Knowledge Discovery

• Data processing and pre-processing techniques

• Data analysis and intelligent mining

• Data mining and knowledge discovery

• Big data analytics and processing technologies

• Causal inference and explainable analysis

• Statistical learning and data-driven inference

• Biomedical data analysis and visualization

• Image data analysis and visual computing

• Multimodal data intelligence

• Applications of new intelligent tools in teaching and learning

📚︎Track 2: Machine Learning and Intelligent Algorithms

• Machine learning and deep learning

• Deep learning and neural network models

• Reinforcement learning, adaptive learning and enhanced learning

• Intelligent optimization algorithms

• Evolutionary computation and swarm intelligence

• Particle swarm optimization and intelligent search

• Fuzzy systems and intelligent reasoning

• Hybrid intelligence and collaborative intelligent systems

• Parameter optimization and hyperparameter tuning

• Intelligent algorithm design, implementation and applications

📚︎Track 3: Modeling, Simulation and Predictive Analytics

• Data-driven modeling and simulation optimization

• Predictive modeling and time series analysis

• Uncertainty modeling and risk analysis

• Statistical modeling and inference methods

• Modeling, simulation and control of technical processes

• Object-oriented modeling and simulation systems

• Complex system modeling and multiscale simulation

• Real-time modeling, dynamic simulation and federated simulation

• Knowledge-based modeling and intelligent simulation

📚︎Track 4: Computational Science and Numerical Methods

• Numerical computing and optimization methods

• Scientific computing and engineering numerical simulation

• High-performance computing and parallel algorithms

• Iterative algorithms, approximate computing and solvers

• Computational geometry and engineering algorithm design

• Finite element methods, finite difference methods and simulation technologies

• Parallel and distributed computational simulation

• Numerical modeling and engineering simulation systems

• Granular computing and soft computing methods

• Algorithm efficiency, complexity and performance evaluation

📚︎Track 5: Intelligent Systems and Cross-disciplinary Applications

• Intelligent control systems and decision support

• Neural computing and cognitive computing

• Intelligent system modeling and system optimization

• AI-assisted modeling and inference

• Computational and systems biology

• Molecular simulation and structural prediction

• Smart manufacturing and industrial system modeling

• Intelligent transportation systems and path optimization

• Smart city and urban computing

• Financial computing and intelligent risk management

• Energy system optimization and scheduling

• Smart healthcare and bio-information systems

• Applications of intelligent technologies in education

📚︎Track 6: Visualization, Interaction and Emerging Integration Technologies

• Data visualization and visual modeling

• Human-machine collaboration and interactive intelligence

• Simulation algorithms and modeling software systems

• Real-time simulation and dynamic modeling

• Digital twins, virtual reality and augmented reality

• Multimodal interaction and immersive systems

• Urban computing and spatial visual analytics

• Environmental and ecological system modeling and sustainable computing

• Frontier integrated intelligent systems