Research Theme
We build reliable and deployable data-driven intelligence for real industrial environments so AI can scale into production systems.
Core Issues
- Data scarcity and noisy observations
- Model robustness and safety
- Continual learning and online adaptation
- Engineering and deployment of AI systems
Research Content
- Data-centric AI
- Time-series modeling and anomaly detection
- Predictive maintenance and system optimization
- Edge computing and real-time inference
Application Scenarios
- Intelligent manufacturing
- Equipment monitoring
- Industrial optimization and decision systems