Research Direction：
Intelligent control
The analysis and the encoding/decoding model for bio-perception mechanism
A novel brain-like algorithm based on bio-perception mechanisms
Intelligent diagnosis support of myocardial infarctio
Research Direction：
1. Stochastic optimization and intelligent scheduling of complex processes in manufacturing
2. Theoretical methods of machine learning and reinforcement learning, and their applications
3. Underwater robot intelligent detection, identification, and optimal control technology
4. Deep sea space information processing technology and intelligent control systems
Research Direction：
Autonomous cooperative control of multi-agent systems
Formation control of UAVs
Vision-based autonomous navigation of UAVs
Research Direction：
1. Computational photography/imaging
2. Computer vision
3. Statistical learning
Research Direction：
1. Big data analysis and industrial applications
2. Data-driven decision-making under uncertainty and applications
3. Process monitoring and fault diagnosis
4. Data-driven industrial process modeling
