(The following topics include but are not limited to)
Topic 1: Computer Science
Monte Carlo method is applied to numerical analysis
Molecular dynamics
Model fitting and data analysis
Computational mathematics, computational physics, computational chemistry, computational finance
Large scientific and engineering calculations
Quantum 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: Algorithms
Computational intelligence, algorithm analysis
Computability theory
Evolutionary algorithm, genetic algorithm, high performance computing
Data structure
Advanced numerical algorithms, stochastic algorithms, approximate algorithms
Combinatorial optimization, quantum computing
Parallel and distributed algorithms, graph rendering and graphics algorithms, deep learning algorithms
Big data search algorithms and systems
Neural networks, software engineering
Numerical analysis
Theme 3: Human-Computer interaction
Multimodal interface (voice, vision, gaze, face, physiological information, etc.)
Tactile rendering, tactile input, tactile perception
Cloud computing technology
Machine interactive learning, machine interface soft computing
Cognitive interface design
Interactive machine learning
Sequential data processing
Collaborative robots and human-computer interaction
Robot control and optimization
Robot perception and interaction
Natural interaction optimization for conversational AI
The application of generative AI in creative design
Optimization of interaction design prototyping tools such as Figma, Axure