(Topics include but are not limited to)
Topic 1: High Performance Computing
Biological/Molecular Computing
Collaboration and collaborative environment
Mobile computing and wireless communication
Parallel and distributed system architecture
Languages and compilers for high-performance computing
Parallel and distributed software technologies
Parallel and distributed algorithms
Embedded system 
computational intelligence 
Point-to-point calculation
Grid and cluster computing
computer network
telecom
Universal/ubiquitous computing and intelligence
Automation, reliability, and fault tolerance
Trust, Security, and Privacy
Web Services and Internet Computing
cloud computing
Utility calculation
Performance evaluation and measurement
Tools and environments for software development
Distributed systems and applications
High performance scientific and engineering computing
Database applications and data mining
Topic 2: Data Mining
prediction model 
Data segmentation
link analysis 
Deviation Detection 
Sequence statistics
probability theory
Search engines and information retrieval
regression analysis
Category data
Decision Tree Theory
Class neural network
Rule induction method
Search engines and information retrieval
Association rules
classification
Topic 3: Pattern recognition
Natural Language Processing and Recognition
Object detection, tracking, and recognition
Principles of Pattern Recognition
Robots and Deep Learning
Model representation and selection
Image processing and analysis
File processing and recognition
Data mining and big data
Biometric identification
computer vision 
Artificial Intelligence in Pattern Recognition
Pattern recognition and signal processing
automation
Transfer learning
artificial neural network
human-computer interaction
Robotics and Intelligent Systems
Statistical pattern recognition