AI and Automated NDT&E

Research More >

Our team focuses on infrared and ultrasonic signal processing, infrared vision, and non-destructive testing and evaluation. We conduct in-depth research on pattern recognition and artificial intelligence detection methods and apply them to automated medical image analysis, nighttime pedestrian detection, and automated industrial inspection.

News More >

• New paper: Enhancing thermal facial recognition leveraging large datasets and hybrid algorithms 2024-06-14
• Graduation Celebration for Our 2024 Master's Students 2024-06-04
• Thesis defence 2024-05-21
• New paper: Swin transformer neural network based on multi-dimensional features for defect depth prediction 2024-03-29

Yu-Xia Duan Associate Professor

Dr. Duan is an Associate Professor and dedicated master's supervisor. Her research include infrared vision and its applications, signal and image processing, and AI-powered automated detection and analysis. She has published over 40 SCI papers, and has been the principal investigator of 1 National Natural Science Foundation project and 2 industry-sponsored projects. Participated in several major research initiatives, including the National Natural Science Foundation's Major Research Plan, Major Scientific Instrument Development Project, and the Ministry of Science and Technology's Key Research and Development Program. She contributed to the fourth edition of the ASNT Nondestructive Testing Handbook, specifically the section on "Composite Applications of Thermal and Infrared Testing". Currently she serves as an editorial board member of the Quantitative Infrared Thermography Journal.