(Including but not limited to the following topics)
Track 1: Applied Mathematics
Initial-boundary value problems
Mathematical physics inverse problems
Chaos theory, combinatorics
Complex dynamics
Difference and differential equations
Orbit and iteration theory
Stability theory
Symmetry and integrable systems
Special functions and orthogonal polynomials
Applications of computer mathematics
Mathematical theories of artificial intelligence
Track 2: Modeling
Applications of machine learning and deep learning in data modeling
Fusion and integration of multi-source data
Time series analysis and predictive modeling
Spatial data analysis and geographic information systems
Complex network analysis and graph algorithms
Data mining and knowledge discovery
Data-driven modeling and simulation optimization
Predictive modeling and time series analysis
Uncertainty modeling and risk analysis
Statistical modeling and inference methods
Technical process modeling, simulation and control
Object-oriented modeling and simulation systems
Complex system modeling and multi-scale simulation
Real-time modeling, dynamic simulation and federated simulation
Knowledge-based modeling and intelligent simulation
Track 3: Computational Science
Applications of machine learning
Data mining techniques
High-performance computing
Cloud computing optimization
Research on quantum computing
Complex system modeling
Parallel algorithm design
Cybersecurity technology
Natural language processing
Image processing technology
Algorithm complexity analysis Deep learning model
Computer vision innovation
Human-computer interaction technology
Big data analysis
Simulation and modeling
Computational science theory ......