Miying Yang
Papers
2
Total Citations
100
H-Index
2
About
Dr. Miying Yang is a leading researcher at the intersection of intelligent manufacturing and sustainability. Her work centers on two key areas: human-robot collaboration and AI-driven decision-making for sustainable product lifecycles. A major contribution is her development of a digital twin-based framework for human-robot cooperative safe control, which has garnered 76 citations and addresses critical safety challenges in modern manufacturing. She has also pioneered the use of reinforcement learning to optimize decision-making for product lifecycle sustainability, a paper with 24 citations that tackles the significant challenge of data scarcity and uncertainty in sustainable operations. By bridging artificial intelligence with practical manufacturing and environmental goals, Dr. Yang’s research provides actionable pathways for reducing waste and improving efficiency. Her notable achievements include advancing the integration of digital twins and AI to create safer, more sustainable industrial systems, making her work highly influential for researchers and practitioners in automation and green manufacturing.
Research Focus
Key Achievements
Top Papers
- 1
- 2