Including but not limited to the following contents:
Track 1: Applied 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
Matrix Theory and Computation
Graph Theory and Combinatorics
Fractional Calculus and Applications
Nonlinear Dynamics and Chaos
Mathematical Physics and Partial Differential Equations
Operations Research and Optimization Control
Inverse Problems and Regularization Methods
Financial Mathematics and Actuarial Science
Mathematical Modeling and Simulation
Information Theory and Coding Theory
Track 2: Computational Modeling and Numerical Methods
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 Methods
Physical Information Neural Networks
Digital Twin and Real-time Simulation
Computational Geometry and Isogeometric Analysis
Numerical Linear Algebra and Fast Algorithms