I am a Senior Lecturer in Digital Construction at the University of Auckland. I am the Programme Leader for postgraduate studies in Construction Management, as well as the Director of the Smart Digital Lab (SDL). My research lies in the inter-disciplinary area of intelligent infrastructure and digital construction. I have focused on applying Building Information Modelling (BIM), Unmanned Aerial System (UAS), Artificial Intelligence (AI), Extended Reality (VR/AR/MR), Smart Sensing and Visualisation, throughout the lifecycle of complex building and large-scale infrastructure systems. My ultimate research goal is to develop a smarter, safer and better built environment to meet the new needs of a changing world.
PhD Civil Engineering
University Liverpool
MSc (Distinction) Structural Engineering (Dual Masters Programme)
Cardiff University
MSc Bridge and Tunnel Engineering (Dual Masters Programme)
Chongqing Jiaotong University
BEng Civil Engineering
Chongqing Jiaotong University
It is pleased to share that our PhD graduates, Cheng Zhang and Feng Wang, have had their technical article titled “Automated UAV Image-to-BIM Registration for Planar and Curved Building Façades Using Structure-from-Motion and 3D Surface Unwrapping ” accepted for publication in the Elsevier journal of Automation in Construction.
It is pleased to share that Dr Yang Zou has been elected as a Board of Directors (BoD) member for the prestigious International Association for Automation and Robotics in Construction (IAARC).
We are delighted to share Dr Yang Zou has been appointed as an Associate Editor for Construction Innovation journal. Before that, Yang was working as an assistant editor for the same journal for two years.
We are delighted to share that we have a new group member, Yan LI (李妍). Yan, originally from China, finished her bachelor’s and master’s degrees at Dalian University of Technology and Harbin Institute of Technology, respectively.
I am delighted to share that our PhD gradaute Xiaofei Yang just had his paper titled ‘Automated Concrete Bridge Damage Detection Using an Efficient Vision Transformer-Enhanced Anchor-Free YOLO’ accepted by Engineering (Elsevier) after an extensive one-and-a-half-year review process.