(The following topics include but are not limited to)
Track 1: Applied Mathematics
Linear algebra, matrix theory
Vector analysis, complex analysis
Differential equations
Laplace transform
Fourier analysis, numerical analysis
Probability theory, mathematical statistics
Computational mathematics methods and algorithms
Statistical software and programming languages
High-performance computing in statistics
Statistical computing and computational statistics
Numerical computation and optimization methods
Computational methods for statistical inference and modeling
Computer-assisted proof and verification
Statistical learning and machine learning
Big data analysis and mining
Data visualization and visual analysis
Combinatorics, computational mathematics, information theory, etc.
Track 2: Modeling
Model validation and confirmation
Intelligent and expert systems
Computer network modeling and analysis
Discrete event and data simulation
Industrial simulation modeling
Robot system simulation
Internet of Things modeling
Fuzzy modeling
Process simulation and modeling
Time series analysis and prediction
Performance evaluation and modeling
Mobile system modeling
Intelligent control
Environmental perception and modeling
Human-computer interaction and virtual reality
Track 3: Intelligent Computing
Quantum computing
Quantum machine learning
Bio-computing
Neural network systems
Natural language processing
Language intelligence
Computer vision
Image analysis
Social networks
Social computing modeling
Intelligent transportation
Travel mode prediction
Intelligent finance
Behavior modeling
Trustworthy artificial intelligence
Intelligent edge devices
Low-power AI
Multimodal intelligent analysis ……