(The following topics include but are not limited to)
Track 1: Applied Mathematics
Mathematical physics inverse problems of initial-boundary value problems
Homogenization theory
Combinatorics
Complex dynamics
Difference and differential equations
Random walk and iteration theory
Stability theory
Symmetry and integrable systems
Special functions and orthogonal polynomials
Applications of computer mathematics
Mathematical theory of artificial intelligence
Track 2: Statistics
Probability theory
Bayesian statistics, mathematical statistics
Applied statistics, spatial statistics
Medical statistics, engineering statistics
Statistical software
Statistical prediction and decision-making
Data collection
Data mining
Data visualization
Machine learning and algorithms
Neural networks and deep learning Data modeling
Model development and testing
Big data technology and application scenarios
Data security and privacy protection Data Management
Track 3: Computational Modeling
Numerical Analysis
Numerical Solution of Differential Equations
Computational Geometry
Mathematical Modeling and Applications
Engineering Applications and Scientific Computing
Computational Fluid Dynamics
Computational Solid Mechanics
Coupled Fluid-Solid Computational Methods
Intelligent Computing and Simulation Technology
Modeling and Simulation of Process Operations
Applied Algebra and Numerical Analysis
Data Mining and Soft Computing
Application of Simulation Software