Summary
Ju Huyan is an Associate Professor and PhD-trained researcher with nine years of experience applying machine learning and deep learning to civil engineering problems, particularly automated pavement damage detection and performance prediction. Based in Nanjing and with postdoctoral experience at the University of Waterloo, he bridges transportation engineering, computer vision, and data visualization to turn complex datasets into actionable infrastructure insights. His work combines computational modeling, image-based object detection, and knowledge discovery, and over the past five years has focused on practical deep learning pipelines for pavement distress interpretation. Notably, his doctoral thesis produced ML-based analytical tools for pavement assessment that continue to inform his academic and applied research.
9 years of coding experience
Master's degree, computerized pavement condition detection modeling and problem interpretations., A, Master's degree, computerized pavement condition detection modeling and problem interpretations., A at Chang' An University, China
Bachelor's degree, Conmunication Engineering, Bachelor's degree, Conmunication Engineering at Chang'an University, China