(The following topics include but are not limited to)
Topic 1. Computational Science
Applied numerical analysis
Graph analects
Monte Carlo method
Molecular dynamics
Model fitting and data analysis
Computational mathematics/Computational physics/Computational Chemistry
Large scientific and engineering calculations
Social Computing/Quantum Computing
People-centered computing
Machine Learning/Network Analysis/Pattern recognition
Distributed and parallel systems
High performance computing and algorithms
Web and grid based computation and simulation
Matlab programming and application
Cognitive Computing/Cloud Computing/Embedded computing
Scalable computing/mobile computing
Topic 2. Applied Mathematics
Linear algebra
Matrix theory/complex analysis
Differential equation
Laplace transform
Fourier analysis/Numerical analysis
Control theory
Topology/functional
Computational mathematics
Optimization and its algorithm
Mathematical psychology
Applied multivariate statistical analysis/applied time series analysis
Applied stochastic process
Economic data modeling and forecasting
Database system and application development
Topic 3. Advanced Algorithms
Genetic Algorithm/Natural computing/quantum computing
Stochastic algorithm/approximation algorithm/combinatorial optimization/sorting algorithm
Computability theory
Advanced control scheme
Algorithms and data structures
Evolutionary computing and learning
Advanced numerical algorithms
Parallel and distributed algorithms
Physical feature visualization algorithm
Graphics rendering and graphics algorithms
Operational optimization and decision-making methods
Unmanned system theory and technology
Fault diagnosis and fault tolerance control
Advanced sensing technology and algorithms
Advanced robotics and control algorithms
The application of AI algorithm in physics
Pattern recognition and artificial intelligence algorithms
Industrial and service robots and applications