Scopes

Theme1 Metamodeling Modeling Language Model conversion Model evolution Formal modeling Model manipulation Modeling and Identification Model driven engineering Modeling and Control Theory Ontology based modeling Data mining and knowledge discovery System modeling and simulation technology Simulation modeling theory and technology Fusion and integration of multi-source data Modeling of non functional properties of systems Time series analysis and predictive modeling Complex Network Analysis and Graph Algorithms Real time simulator, instrument and control Verification and validation, analysis, testing Spatial Data Analysis and Geographic Information Systems Design of Universal Modeling Language and Related Standards The Application of Machine Learning and Deep Learning in Data Modeling Theme2 Function theory Parameter calculation statistical analysis mathematical modeling Complex analysis Combinatorial mathematics Li Group and Representation Linear algebra, Differential equations, Fourier analysis Discrete mathematics, etc Preliminary Algebraic Topology Laplace transform Matrix, vector analysis Riemannian surface and Riemannian geometry Numerical Calculation and Algorithm Optimization Nonlinear optimization and convex optimization High performance computing and parallel computing Numerical methods for large-scale datasets Random algorithms and Monte Carlo methods The Application of Artificial Intelligence in Mathematical Modeling