(The following topics include but are not limited to)
Topic 1: Statistical Learning
experimental design
Time series analysis
survival analysis 
Bayesian statistics
Multivariate statistics
Statistical learning
Non parametric statistics
Statistical simulation
Statistical software application
Health data statistics
Topic 2: Pattern recognition
Artificial Intelligence Technology in Pattern Recognition
Biometric recognition (including facial recognition)
computer vision 
Data Mining and Big Data
File processing and recognition
Advanced Learning Methods
Linear models and dimensionality reduction
Machine learning methods
Model representation and selection
Fuzzy and Hybrid Techniques in PR
Image processing and analysis
Mathematical Theory of Pattern Recognition
Natural Language Processing and Recognition
Object detection, tracking, and recognition
Pattern recognition principle
robot
remote sensing
Shape and texture analysis
Statistical pattern recognition
Syntax and structural pattern recognition
Speech and Speech Recognition