Research
We aims to make a safer, smarter, cost less, and sustainable future.
Research Interests
Our research group is at the forefront of innovation in two dynamic areas: AI for Sustainability (AI4S) of power&energy supply and AI for Science (AI4Sci). We focus on developing foundational theories and methodologies while driving interdisciplinary applications across diverse domains.
Focus Areas
Trustworthy AI and Data Science
- Deep Learning and Physics-Informed AI Models
- Data-Driven Decision-Making and Multimodal Generative AI
- Trustworthy Reinforcement Learning for Optimization and Programming
- Intelligent Control and IoT for Large-Scale Systems
- Digital Twin and LLM for Knowledge Representation of Complex Systems
Power&Energy, Robotics, and Manufacturing
- Embodied Intelligence of Electric Vehicles, including Power control and Motion Planning
- Prognostics and Health Management of Industrial Informatics
- Robotics-based Smart Manufacturing, assembly and disassembly
- Life-Cycle Informatics and Analytics
Engage with Our Research
We actively contribute to the broader research community by sharing our findings and insights through scientific publications, projects, and patents. Explore our work:
Acknowledgement
We gratefully acknowledge support from our sponsors:
Digital Intelligent Battery Lab 