Topic 1: Soft Computing
Artificial Intelligence and Machine Learning
Data Mining and Knowledge Discovery
Probability reasoning and uncertainty
Fuzzy Systems and Optimization
Intelligent Control and Robotics
Computer Vision and Information Retrieval
Intelligent search
Automatic reasoning and logic programming
machine learning
Intelligent planning
Visual/Language Perception
Evolutionary Algorithm and Swarm Algorithm
Non derivative optimization algorithm
Fuzzy sets and fuzzy logic
Rough set
Neural computing
Emotional intelligence
Hybrid of intelligent models/algorithms
Parallel and Distributed Implementation of Intelligent Algorithms/Systems
Fuzzy, Random, and Probabilistic Computation
Multi objective optimization
data mining 
Neural computing
pattern recognition
expert system
Fundamentals and Optimization of Soft Computing
Soft computing in the era of big data
GPU Computing for Machine Learning
Soft Computing and Proxy Technology
Topic 2: Data Mining
probability theory
Network Mining
prediction model 
Data segmentation
Link analysis
Deviation detection
Sequence statistics
regression analysis
Category data
neural network
Rule induction
Decision Tree Theory
Graph and subgraph mining
Data Mining Visualization
Topic 3: Natural Language Processing
Optimization of Speech Recognition System
speech synthesis
Emotion analysis
Language model
MT
Dialogue system
human-computer interaction
Semantic understanding and text analysis, etc