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.
DIB-LAB深耕两大前沿交叉领域：面向电力与能源供应可持续性的人工智能赋能可持续发展（AI4S），以及人工智能驱动科学研究（AI4Sci）。我们致力于基础理论创新与方法论体系构建，同时推动跨学科应用研究在多元场景下的深度融合与范式突破。
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 