Mr. Fangzhou Lin, Hong Kong University of Science and Technology, Hong Kong
Fangzhou Lin is a Ph.D. researcher in Civil Engineering at the Hong Kong University of Science and Technology (HKUST), specializing in deep learning, machine vision, construction robots, and multimodal data fusion. He holds a Bachelor’s degree in Civil Engineering from Fuzhou University (2015-2019) and a Master’s degree in Structural Engineering from Southeast University (2019-2022). Fangzhou Lin’s research focuses on the integration of artificial intelligence and robotics in construction automation, with applications in fire safety inspection, resource management, visual measurement, and quality assessment. His work has been published in leading journals such as Automation in Construction, Computer-Aided Civil and Infrastructure Engineering, and Advanced Engineering Informatics. He has contributed to multiple cutting-edge studies on robotic systems for construction site management, vision-based measurement techniques, and reinforcement learning-based scheduling for electric concrete vehicles. As an emerging scholar in construction automation and AI-driven inspection technologies, Fangzhou Lin actively collaborates on multi-disciplinary research projects to enhance efficiency, safety, and sustainability in the built environment. His contributions to automated reality capture, rebar positioning, and construction robotics are shaping the future of intelligent construction and infrastructure development.
Professional Profile:
SCOPUS
Suitability of Fangzhou Lin for the Best Scholar Award
Fangzhou Lin is an outstanding early-career scholar with a strong background in deep learning, machine vision, construction robotics, and multimodal data fusion within the field of civil engineering. His academic trajectory, research productivity, and innovative contributions make him a compelling candidate for the Best Scholar Award. Below is a detailed assessment of his suitability based on key criteria.
🎓 Education
- 2015.09 – 2019.06 | Fuzhou University – Bachelor’s Degree in Civil Engineering
- 2019.09 – 2022.06 | Southeast University – Master’s Degree in Structural Engineering
- 2022.09 – Present | Hong Kong University of Science and Technology – Ph.D. in Civil Engineering
🏗️ Work & Research Experience
- Expertise in: Deep learning, machine vision, construction robots, multimodal data fusion
- Published in top journals such as Automation in Construction and Computer-Aided Civil and Infrastructure Engineering
- Conducting research on:
- 🔥 Fire Safety Inspection using AI-driven visual inspection
- 🤖 Robotics for Construction Management with multi-task planning and automatic grasping
- 🏗️ BIM-integrated Reality Capture for indoor inspection using multi-sensor quadruped robots
- 🎯 Vision-based Monitoring for assembly alignment of precast concrete bridge members
🏆 Achievements & Awards
- Published multiple high-impact journal papers 📚
- Lead researcher on innovative construction technology projects 🔍
- Contributed to advanced AI-driven automation for civil engineering 🤖
- Research works under review in prestigious engineering journals 🏅
- Collaborated with leading experts in civil engineering and robotics 🤝
Publication Top Notes:
Efficient visual inspection of fire safety equipment in buildings