Supervisor | Dalian Jiaotong University | China
Prof. Li Zou is a Professor and Ph.D. Supervisor specializing in computer science and mechanical engineering, with research focused on intelligent computing, computer vision, big data analytics, and fatigue analysis of welded structures. His work integrates advanced machine learning models, physics-informed neural networks, and soft computing techniques to enhance fatigue life prediction and structural reliability. He has contributed significantly to damage detection in wind turbine blades and intelligent modeling of engineering systems. His research impact is reflected in Scopus metrics with over 837 citations across 50 documents and an h-index of 13, alongside strong visibility on Google Scholar, demonstrating sustained academic influence and innovation.
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Featured Publications
An improved method of AUD-YOLO for surface damage detection of wind turbine blades
– Scientific Reports, 2025
Ultrasonic bonding with variable amplitude fuzzy control based on force signals
– Journal of Reinforced Plastics, 2025
Method of weld pool processing for defect recognition
– Materials Today Communications, 2025
Thermal-assisted underwater friction stir welding study
– Journal of Thermoplastic Composite Materials, 2025
Augmentation method of fatigue data based on CTGAN
– Fracture and Structural Integrity, 2025