NSERC Industrial Research Chair in the Industrialization of Building Construction

Xianfei (Walt) Yin

Research Interests

Xianfei’s research interests include the process of industrialization of construction, and how to increase the productivity of a precast factory.

Background

During his master’s degree at the Harbin Institute of Technology, Xianfei contributed to research on the application of BIM technology in the operation and maintenance of a utility tunnel. 

Education

  • Master of Management, Management Science and Engineering (2017), Harbin Institute of Technology, Harbin, Heilongjiang, China
  • Bachelor of Management, Construction Management (2015), Qingdao University of Technology, Qingdao, Shandong, China

Publications

Journal papers

  • Yin, X., Chen, Y., Bouferguene, A., Zaman, H., Al-Hussein, M., and Kurach, L. (2020). "A deep learning-based framework for an automated defect detection system for sewer pipes." Automation in Construction, 109, 102967.
  • Chen, Y., Bouferguene, A., Shen, Y., Yin, X., and Al-Hussein, M. “A bi-level decision support model (BLDSM) for bus route optimization and accessibility improvement for seniors.” Accepted (Jun., 2019) for publication in Journal of Computing in Civil Engineering.
  • Yin, X., Liu, H., Chen, Y., and Al-Hussein, M. (2019). “Building information modelling for off-site construction: Review and future directions.” Automation in Construction, 101, 72-91.

Conference papers

  • Chen, Y., Yin, X., Bouferguene, A., and Al-Hussein, M. “An optimization model for bus route redesign considering accessibility improvement for seniors.” Accepted (Sep., 2019) for publication in Proceedings, Construction Research Congress, Tempe, AZ, USA, Mar. 8–10, 2020.
  • Yin, X., Chen, Y., Bouferguene, A., Al-Hussein, M., Russell, R., and Kurach, L. “A neural network-based approach to predict the condition for sewer pipes.” Accepted (Sep., 2019) for publication in Proceedings, Construction Research Congress, Tempe, AZ, USA, Mar. 8–10, 2020.
  • Yin, X., Chen, Y., Zhang, Q., Bouferguene, A., Zaman, H., Al-Hussein, M., Russell, R., and Kurach, L. “A neural network-based application for automated defect detection for sewer pipes.” Accepted (Mar., 2019) for publication in Proceedings, 7th CSCE International Construction Specialty Conference (jointly with Construction Research Congress), Laval, QC, Canada, Jun. 12–15, 2019.
  • Chen, Y., Yin, X., Zhang, Q., Bouferguene, A., Zaman, H., Al-Hussein, M., Russell, R., and Kurach, L. “Productivity analysis of manual condition assessment for sewer pipes based on CCTV monitoring.” Accepted (Mar., 2019) for publication in Proceedings, 7th CSCE International Construction Specialty Conference (jointly with Construction Research Congress), Laval, QC, Canada, Jun. 12–15, 2019.
  • Yin, X., Chen, Y., Bouferguene, A., Zaman, H., Al-Hussein, M., Russell, R., and Kurach, L. (2019). “Standard closed-circuit television (CCTV) collection time extraction of sewer pipes with machine learning algorithm.” Proceedings, 2019 International Symposium on Automation and Robotics in Construction (ISARC), Banff, Alberta, Canada, May 21–24, 2019, pp. 107–113.
  • Chen, Y., Yin, X., Bouferguene, A., Zhang, Y., and Al-Hussein, M. (2019). “Accessibility-based location selection for building panelized housing for seniors.” Proceedings, 2019 Modular and Offsite Construction (MOC) Summit, Banff, Alberta, Canada, May 21–24, 2019, pp. 92–99.
  • Wang, J., Yin, X., Tian, Y., Li, X., and Al-Hussein, M. (2018). “Simulation of production line improvements in panelised floor manufacturing.” Proceedings, European Modeling and Simulation Symposium, Budapest, Hungary, Sep. 17–19, pp. 157–164.

Xianfei (Walt) Yin

PhD student
Department of Civil and Environmental Engineering
5-362.18 Donadeo Innovation Centre for Engineering
xianfei@ualberta.ca