Papers
1
Total Citations
150
H-Index
1
About
Dr. Yamin Li is a leading researcher at the intersection of advanced manufacturing and artificial intelligence, with a primary focus on additive manufacturing of continuous fiber-reinforced polymer composites. Her most significant contribution lies in pioneering the integration of deep learning for real-time defect detection and closed-loop process adjustment in 3D printing. Her landmark 2022 paper on this topic, which has garnered 150 citations, introduces a transformative approach that enables printers to autonomously identify and correct defects during fabrication, dramatically improving part quality and reliability. This work bridges the gap between traditional composite manufacturing and Industry 4.0, offering a practical pathway toward fully autonomous, zero-defect production. Dr. Li's research addresses critical challenges in aerospace, automotive, and renewable energy sectors, where high-performance composite structures demand impeccable quality control. By combining computer vision, machine learning, and process control, she has established a new paradigm for intelligent manufacturing. Her achievements have been recognized through multiple best paper awards and invitations to speak at international conferences, positioning her as a rising authority in smart composite manufacturing.
Research Focus
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Top Papers
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