Dr. Can Cui is a Lecturer at the School of Water Resources and Transportation, Zhengzhou University, whose research spans intelligent detection technologies, transportation engineering, machine vision, and structural health monitoring. He earned his Bachelor’s, Master’s, and Doctoral degrees in Transportation Engineering from Central South University between 2009 and 2020, establishing a strong academic foundation in transportation systems and computational methods. After completing his Ph.D., he began his academic career as a Lecturer in the School of Civil Engineering at Zhengzhou University (2021–2022) before transitioning to his current position in July 2022. Over the past several years, Dr. Cui has played leading roles in multiple significant research projects, including a key scientific research project funded by the Shenzhen Municipal Science and Technology Department on machine vision evaluation of honeycomb materials for train collision energy absorption, as well as major projects supported by the China Railway Seventh Bureau Group focusing on 5G digitalization of highway maintenance equipment and fatigue life assessment of bridge cable systems. His scholarly work includes impactful publications in internationally recognized journals such as Automation in Construction, Composites Part B: Engineering, Buildings, the Journal of Railway Science and Engineering, and the Journal of Sandwich Structures and Materials. He has contributed as sole first author, sole corresponding author, and key collaborator in studies involving YOLO-based defect detection, dynamic stiffness analysis, and geometric identification of honeycomb structures. Dr. Cui has also established a strong presence in technological innovation, holding more than ten Chinese and U.S. patents related to geometric morphology evaluation, honeycomb regularity detection, infrared-based grouting quality assessment, and deformation measurement using DIC technology. Through his integration of machine vision, structural mechanics, and intelligent sensing, Dr. Cui continues to advance digital and automation-driven solutions for transportation infrastructure safety and performance.