(Include but not limited to)
Track 1: Mathematical Statistics
Theories and methods of mathematical statistics
Statistical modeling and inference
Bayesian statistics and statistical computing
High-dimensional data analysis and dimension reduction methods
Time series analysis and prediction
Spatial statistics and spatio-temporal data analysis
Nonparametric and semi-parametric statistical methods
Statistical learning theory and methods
Multivariate statistical analysis and data fusion
Experimental design and optimization
Reliability statistics and survival analysis
Development of statistical software and computing tools
Biostatistics and medical statistics
Financial statistics and risk management
Big data statistical methods and applications
Computational challenges in statistical inference
Track 2: Computational Physics
Computational physics and numerical simulation
Computational fluid dynamics and fluid-solid coupling
Computational solid mechanics and material simulation
Quantum many-body physics and quantum computing
Numerical methods in particle physics and nuclear physics
Statistical physics and simulation of complex systems
Soft matter and biophysical modeling
Condensed matter physics and semiconductor physics computing
Astrophysics, gravity and cosmology simulation
Lattice field theory and lattice quantum chromodynamics
Numerical solutions of partial differential equations
High-performance computing and parallel algorithms
Large-scale scientific and engineering computing
Molecular dynamics and Monte Carlo simulation
Computational electromagnetics and optical simulation
Industrial computational physics and applications
Track 3: Modeling
Theories and applications of mathematical modeling
Complex system modeling and simulation
Nonlinear analysis and chaos theory
Differential equations and modeling of dynamical systems
Operations research and optimization algorithms
Game theory and decision modeling
Control theory and applications
Data-driven modeling and prediction
Machine learning and artificial intelligence modeling
Deep learning and physical information neural networks
Interpretable artificial intelligence and interpretable machine learning
Spatial statistical modeling and geographic information systems
Economic and financial modeling
Mathematical biology and life science modeling
Environmental and ecological modeling
Cloud computing and distributed computing systems ......