Call For Papers

The topics of interest for submission include, but are not limited to:

◕  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

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◕ 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

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◕ 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

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◕ 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

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◕ 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

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◕ 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

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