Including but not limited to the following contents:
Track 1: Applied Mathematics and Computational Mathematics
Differential Equations and Dynamical Systems
Numerical Analysis and Approximation Theory
Optimization Theory and Algorithms
Probability Theory and Stochastic Processes
Mathematical Statistics and Data Analysis
Computational Geometry and Algebraic Methods
Inverse Problems and Regularization
Fractional Calculus and Its Applications
Nonlinear Dynamics and Chaos
Mathematical Physics and Partial Differential Equations
Graph Theory and Combinatorial Optimization
Information Theory and Coding Theory
Operations Research and Optimization Control
Financial Mathematics and Actuarial Science
Mathematical Theories of Artificial Intelligence
Track 2: Computational Modeling and Simulation Technology
Finite Element and Finite Difference Methods
Boundary Element and Meshless Methods
Multiscale Modeling and Homogenization
Computational Fluid Dynamics and Heat Transfer
Computational Solid Mechanics and Structural Analysis
Multifield Coupling Numerical Simulation
Reduced-Order Models and Proxy Models
Adaptive Grids and Error Estimation
Uncertainty Quantification and Stochastic Simulation
High-Performance Computing and Parallel Algorithms
Machine Learning Enhanced Numerical Simulation
Physical Information Neural Networks
Digital Twinning and Real-time Simulation
Simulation Tools and Platform Development
Complex System Modeling and Simulation