The research of our group focuses on the development of breakthrough machine learning (ML) algorithms, theoretical improvements based on mathematics, and real-world ML applications for industrial automation. In order to conduct influential research in the core areas of artificial intelligence (AI), we mainly consider the following research topics:

- Reinforcement learning
- Transfer learning/Domain adaptation
- Imitation learning
- Multi-agent systems
- Statistical learning
- Intelligent control systems
- Signal processing