Dr Mingzhu Wang

BEng PhD

  • Lecturer in Construction Management

Research and expertise

My research interests broadly include the application of advanced computing techniques and information technologies in construction management, such as computer vision, machine learning, artificial intelligence, building information modelling (BIM) and Internet of Things (IoT).

My research focuses on the following areas:

  • Civil infrastructure monitoring and condition assessment
  • Construction progress and safety monitoring
  • Underground utility management / Facility management
  • BIM and GIS integration
  • Digital twin

Recent publications

  • Luo, H., Wang, M.*, Wong, P.K.Y. and Cheng, J.C.P. (2020) Full body pose estimation of construction equipment using computer vision and deep learning techniques, Automation in Construction, 110, 103016. doi:10.1016/j.autcon.2019.103016.
  • Wang, M. and Cheng, J.C.P.* (2019) A unified convolutional neural network integrated with conditional random field for pipe defect segmentation, Computer-Aided Civil and Infrastructure Engineering. mice.12481. doi:10.1111/mice.12481.
  • Wang, M., Deng, Y.*, Won, J. and Cheng, J.C.P. (2019) An integrated underground utility management and decision support based on BIM and GIS, Automation in Construction, 107, 102931. doi:10.1016/j.autcon.2019.102931.
  • Cheng, J.C.P. and Wang, M.* (2018) Automated detection of sewer pipe defects in closed-circuit television images using deep learning techniques, Automation in Construction, 95, 155–171. doi:10.1016/j.autcon.2018.08.006.
  • Kumar, S.S.*, Wang, M., Abraham, D.M., Jahanshahi, M.R., Iseley, T. and Cheng, J.C.P. (2020) Deep learning-based automated detection of sewer defects in CCTV videos, Journal of Computing in Civil Engineering, 34. doi:10.1061/(ASCE)CP.1943-5487.0000866.


I received my BEng degree in Construction Management from Guangzhou University, China in 2015, after which I obtained my PhD in Civil Engineering from the Hong Kong University of Science and Technology (HKUST) in 2019.

During the four years of PhD study, I have been to the RAAMAC lab in the University of Illinois Urbana-Champaign as a visiting scholar for six months, working on computer vision for construction site monitoring. After graduating from HKUST, I joined the Centre for Systems Engineering and Innovation (CSEI) at Imperial College London as a Research Associate working on “Scan-vs-BIM for construction progress monitoring”. In 2020, I joined the School of Architecture, Building and Civil Engineering at Loughborough University as a Lecturer in Construction Management.

Professional affiliations

  • Visiting researcher at The Alan Turing Institute, Imeprial College London


  • The ADF 2019 - The Rising Stars Women in Engineering Workshop Nomination, HKUST, 2019
  • First Prize in BIM-CIM Innovation Competition, Shenzhen, China, 2018
  • Best Paper Award, the 18th  International Conference on Construction Application of Virtual Reality (CONVR 2018), Auckland, New Zealand, 2018
  • Category F - Research Award at the HKIPM Project Management Awards, Hong Kong, China, 2016
  • Outstanding Students Award at the Autodesk Hong Kong BIM Awards, Hong Kong, China, 2016