(Topics include but are not limited to)
Topic 1: Mathematical Modeling
Metamodeling and Regression
Model validation and verification
Modeling and Simulation
Modeling simulation input
numerical analysis
Pattern recognition and analysis
random process
Analysis and statistics of true gill false accusations
Sampling techniques
Satisfiability model theory
sensitivity analysis 
Singular perturbation theory
Smooth and statistical graphics
Methodology of Social Sciences
Statistical analysis system programming
Statistical applications
Statistical Genetics
Statistics and Mathematics Education
Environmental statistical information
Random modeling
Other related topics
Topic 2: Optimization Algorithm
Evolutionary Algorithm Innovation
Swarm intelligence optimization
Research on Precise Algorithms
Heuristic algorithm application
Hyper heuristic algorithm
Intelligent Guest Agent System
Machine learning optimization algorithm
Combinatorial optimization algorithm
Deep Learning Optimization Strategies
Improvement of Meta Heuristic Algorithm
Topic 3: Machine Learning
Deep and reinforcement learning
Pattern recognition and classification of networks
Machine learning for network slicing optimization
Machine Learning 5G System
Machine learning for predicting user behavior
New innovative machine learning methods
Optimize machine learning methods
Performance Analysis of Machine Learning Algorithms
Experimental evaluation of machine learning
Data Mining in Heterogeneous Networks
Machine Learning Multimedia
IoT machine learning
The Security and Protection of Machine Learning
Distributed and decentralized machine learning algorithms
Medical image processing
Communication big data
Machine learning algorithms
Communication Artificial Intelligence