YAN, Xuzhong

Dr Xuzhong Yan is a lecture at School of Management, Zhejiang University of Technology.

He received dual PhD degrees from College of Civil Engineering and Architecture, Zhejiang University and Department of Building and Real Estate, Hong Kong Polytechnic University.

His research interests include intelligent construction, computer vision, sensor signal processing, disruption management, decision optimization, and ergonomics.

Intelligent Perception and Digital Construction

Engineering Economics

Civil Engineering Construction

Thesis Writing and Research Methods

Project Management

Publications:

1. Yan, X.Z., Zhang, H., Wu Y.F., Lin, C., Liu, S.W. (2023). Construction Instance Segmentation (CIS) Dataset for Deep Learning-Based Computer Vision. Automation in Construction. 156: 105083. (SCI, JCR Q1: 2/137) https://doi.org/10.1016/j.autcon.2023.105083.

2. Yan, X.Z., Zhang, H., Gao, H. (2022). Mutually coupled detection and tracking of trucks for monitoring construction material arrival delays. Automation in Construction, 142: 104491. (SCI, JCR Q1: 2/137) https://doi.org/10.1016/j.autcon.2022.104491

3. Yan, X.Z., Zhang, H. Zhang, Wenyu (2022). Intelligent Monitoring and Evaluation for the Prefabricated Construction Schedule. Computer-Aided Civil and Infrastructure Engineering, 1-17. (SCI, JCR Q1: 1/137) https://doi.org/10.1111/mice.12838

4. Yan, X.Z., Zhang, H. (2021). Computer Vision-based Disruption Management for Prefabricated Building Construction Schedule. Journal of Computing in Civil Engineering, 35.6 (2021): 04021027. (SCI, JCR Q1: 18/137) https://doi.org/10.1061/(asce)cp.1943-5487.0000990

5. Yan, X.Z., Zhang, H., & Li, H. (2020). Computer Vision-Based Recognition of 3D Relationship between Construction Entities for Monitoring Struck-By Accidents. Computer-Aided Civil and Infrastructure Engineering, 1-16. (SCI, JCR Q1: 1/137) https://doi.org/10.1111/mice.12536

6. Jin, R., Zhang, H., Liu, D.H., Yan, X.Z. (2020). IoT-Based Detecting, Locating and Alarming of Unauthorized Intrusion on Construction Sites. Automation in Construction, 118, 103278. (SCI, JCR Q1: 2/137) https://doi.org/10.1016/j.autcon.2020.103278

7. Yan, X.Z., Zhang, H., & Li, H. (2019). Estimating Worker-Centric 3D Spatial Crowdedness for Construction Safety Management Using a Single 2D Camera. Journal of Computing in Civil Engineering, 33(5), 04019030. (SCI, JCR Q1: 18/137) https://doi.org/10.1061/(asce)cp.1943-5487.0000844

8. Zhang, H., Yan, X.Z.*, Li, H., Jin, R., & Fu, H.F. (2019). Real-Time Alarming, Monitoring, and Locating for Non-Hard-Hat Use in Construction. Journal of Construction Engineering and Management, 145(3), 04019006. (SCI, JCR Q1: 27/137) https://doi.org/10.1061/(asce)co.1943-7862.0001629

9. Yan, X.Z., Li, H., Zhang, H., & Rose, T.M. (2018). Personalized Method for Self-Management of Trunk Postural Ergonomic Hazards in Construction Rebar Ironwork. Advanced Engineering Informatics, 37, 31-41. (SCI, JCR Q1: 10/90) https://doi.org/10.1016/j.aei.2018.04.013

10. Zhang, H., Yan, X.Z.*, & Li, H. (2018). Ergonomic Posture Recognition Using 3D View-Invariant Features from Single Ordinary Camera. Automation in Construction, 94, 1-10. (SCI, JCR Q1: 2/137) https://doi.org/10.1016/j.autcon.2018.05.033

11. Yan, X.Z., Li, H., Wang, C., Seo, J., Zhang, H., & Wang, H.W. (2017). Development of Ergonomic Posture Recognition Technique Based on 2D Ordinary Camera for Construction Hazard Prevention through View-Invariant Features in 2D Skeleton Motion. Advanced Engineering Informatics, 34, 152-163. (SCI, JCR Q1: 10/90) https://doi.org/10.1016/j.aei.2017.11.001

12. Yan, X.Z., Li, H., Li, A.R., & Zhang, H. (2017). Wearable IMU-Based Real-Time Motion Warning System for Construction Workers' Musculoskeletal Disorders Prevention. Automation in Construction, 74, 2-11. (SCI, JCR Q1: 2/137)  https://doi.org/10.1016/j.autcon.2016.11.007

Research Projects:

1. PI in National Natural Science Foundation of China (No. 72201247). 

2. Participate in General Program of National Natural Science Foundation of China (No. 71972167).