I. Artificial Intelligence

1. Neural networks and applications

2. Biometric identification

3. Data Mining

4. Knowledge discovery

5. Machine learning

6. Humanoid Robot

7. Intelligent information systems

8. Affective computing

9. Fuzzy logic and soft computing

10. Unmanned aerial vehicle

11. Natural language processing

12. Pilotless automobile

13. Artificial intelligence applications in science, engineering, healthcare, and medicine

II. Big Data

1. Data analysis / Data flow application

2. Big data search and information retrieval technology

3. Memory systems and platforms for big data analysis

4. Big data and deep learning

5. Big data and high-performance computing

6. Techniques, models, and algorithms of big data

7. Big data network infrastructure

8. Big data applications for the Internet of Things

9. Big data applications in smart cities

10. Fault tolerance and reliability

11. Scalability of big data systems

12. Big data privacy and security

13. Visual analysis algorithms and basics

14. Visual graphics and context models

15. Big data transformation and performance

16. Big data collection, integration,

17. cleaning and best practices

18. Storage system (including file system, NoSQL and RDBMS)

19. Resource management method for big data system