(The following topics include but are not limited to)
Track 1: Applied Mathematics
Initial-boundary value problems
Mathematical physics inverse problems
Dissipative theory
Combinatorial mathematics
Complex dynamics
Difference and differential equations
Random walk and iteration theory
Stability theory
Symmetry and integrable systems
Special functions and orthogonal polynomials
Applications of computer mathematics
Mathematical theory of artificial intelligence
Track 2: Intelligent Algorithms
Applications of image recognition and target detection algorithms in robotics
Multimodal sensor data fusion (vision, hearing, touch, etc.)
Sensor signal processing and feature extraction
SLAM (Simultaneous Localization and Mapping) algorithms
Environment understanding and scene semantic segmentation
Collaborative perception of heterogeneous sensors
Track 3: Computational Modeling
Numerical calculation and optimization methods
Scientific computing and engineering numerical simulation
High-performance computing and parallel algorithms
Iterative algorithms, approximate computation and solvers
Computational geometry and engineering algorithm design
Finite element method, finite difference method and simulation technology
Parallel and distributed computing simulation
Numerical modeling and engineering simulation systems
Algorithm efficiency, complexity and performance evaluation
Data-driven modeling and simulation optimization
Predictive modeling and time series analysis
Uncertainty modeling and risk analysis
Statistical modeling and inference methods
Modeling, simulation and control of technical processes
Object-oriented modeling and simulation systems
Complex system modeling and multi-scale simulation
Real-time modeling, dynamic simulation and federated simulation
Knowledge-based modeling and intelligent simulation ……