Mr. Jianfeng Qiao | Accident Analysis | Best Researcher Award
Associate Professor at Capital University of Economics and Business, China
Dr. Jianfeng Qiao is an Associate Professor at the School of Management and Engineering, Capital University of Economics and Business (CUEB), Beijing. His research focuses on accident analysis and safety risk early warning using advanced machine learning and artificial intelligence technologies. He has authored influential publications in top-tier international journals and has collaborated globally, including serving as a visiting scholar at Rutgers University, USA. Dr. Qiao’s work bridges engineering management, data science, and safety technology, contributing significantly to the fields of construction safety, risk optimization, and intelligent decision support systems.
Publication Profile
Educational Background 🎓
-
Doctor of Engineering
Beijing University of Posts and Telecommunications, Beijing, China
September 2011 – July 2015 -
Visiting Scholar
Rutgers, The State University of New Jersey, USA
March 2019 – May 2022
(Focus: Machine learning applications in accident analysis and safety systems)
Professional Experience 💼
-
Associate Professor
School of Management and Engineering, Capital University of Economics and Business, Beijing, China
Dates: Ongoing-
Teaching courses related to engineering management and safety systems
-
Conducting research in machine learning-driven safety risk assessment and early warning models
-
Supervising graduate students in safety engineering and AI applications
-
-
Research Collaborator
Rutgers University, USA (as Visiting Scholar)-
Conducted collaborative research projects focused on AI in construction accident prevention
-
Developed methods for classifying narrative accident data using deep learning techniques
-
Research Interests 🔬
-
Accident analysis and prediction using machine learning
-
Early warning systems for safety risks
-
Text mining and natural language processing in safety narratives
-
Entropy-based methods in project management
-
AI applications in construction and industrial safety
-
Resource optimization and scheduling
Conclusion🌟
Dr. Jianfeng Qiao is a committed academic and researcher whose work advances the intersection of machine learning and safety engineering. Through his academic publications and international collaborations, particularly in the area of construction accident prevention, he continues to impact both scholarly communities and practical safety management systems. His expertise and contributions make him a valued expert in AI-driven safety solutions.
Publications 📚
-
🏗️ Qiao, J., Wang, C., Guan, S., Lv, S. (2022).
Construction-Accident Narrative Classification Using Shallow and Deep Learning.
Journal of Construction Engineering and Management, 148(9), 04022088.
🔗 https://doi.org/10.1061/(ASCE)CO.1943-7862.0002354
✨ Used machine learning techniques to classify construction accident narratives.
-
⚙️ Qiao, J., Li, Y. (2018).
Resource Leveling Using Normalized Entropy and Relative Entropy.
Automation in Construction, 87, 263–272.
🔗 https://doi.org/10.1016/j.autcon.2017.12.022
📊 Introduced entropy-based methods for efficient resource scheduling in construction.
