Conference Themes (Research areas include but are not limited to the following themes)
Theme I: Applied Mathematics
Linear Algebra
Matrix Theory
Vector analysis
Complex variable analysis
Differential equations
Laplace transforms
Fourier analysis
Numerical Analysis
Probability theory
Mathematical Statistics
Operations Research
Game Theory
Control Theory
Combinatorial Mathematics
Information Theory
Computational Mathematics
Information Theory
Statistics
Applications of Applied Mathematics, etc.
Topic II: Statistics
Statistical Theory and Methods
Statistical Computing
Multivariate Statistical Analysis
Statistical Forecasting and Decision Making
Statistical Mechanics
Statistical Logic
Statistical Jurisprudence
Economic Statistics
Management Statistics
Science and Technology Statistics
Social Statistics
Educational Statistics
Medical Statistics
Environmental and Ecological Statistics
International Statistics
Engineering Statistics
Statistical Analysis of Literature
Chemical and Program Analysis
Reliability Engineering
Theme 3: Data Analytics and Applications
Data Mining
Data Management and Database
Data Analysis Methods
Intelligent Data Processing
Exploratory Data Analysis
Validation Data Analysis
Qualitative Data Analysis
High Frequency Data Analysis
Complex Data Analysis
Predictive Analytics and Simulation
Data Analysis Algorithms and Systems
Data Analysis Process and Improvement
Data analysis scenarios and modeling applications
Big data analysis and mining
Knowledge Extraction, Discovery, Analysis and Presentation
Big Data Machine Learning
Big Data Platforms, Technologies, Models and Methods
Big Data Tools and Systems
Big Data Visualization and Analysis
Public Big Data
Big Data Analytics and Media
Big Data Analytics Economics
Big Data Security and Privacy
Healthcare Big Data
E-commerce Big Data
Transportation Big Data
Industry Applications of Big Data