Associate Dean for Research
Professor Song Wu
Leading researcher in digital construction, AI applications, and reality computing at Nottingham Trent University
Years Experience
Publications
Research Funding
PhD Students
Bridging Technology
& Built Environment
Professor of Construction Management and Associate Dean for Research at Nottingham Trent University's School of Architecture, Design and the Built Environment.
As an internationally leading researcher in digital construction with more than 20 years' experience in the UK higher education sector, I specialise in computer modelling and data analysis in the built and human environment.
My current research focuses on reality computing and Artificial Intelligence, including 3D scanning, UAV data capture, Augmented Reality, Virtual Reality, serious game technology, and AI applications.
Education
- PhD - IT Tool for Construction Process Management
University of Salford, 2004 - MSc - IT in Construction
University of Salford, 2000
Professional
- Fellow of the Chartered Institute of Building (FCIOB)
- Fellow of the Higher Education Academy (FHEA)
Areas of Expertise
Reality Computing & 3D Scanning
3D scanning, UAV data capture, and reality computing technologies for built environment digitalisation.
AI & Machine Learning
Application of artificial intelligence and machine learning in construction and infrastructure asset management.
AR, VR & Serious Games
Augmented Reality, Virtual Reality, and serious game technology for construction and training applications.
Digital Twins & BIM
Building Information Modelling and Digital Twin technologies for infrastructure and construction management.
Bridge Health Monitoring
Optical monitoring methods for geometry, defect detection, and digitalisation of bridge infrastructure.
Construction Process
IT tools and methodologies for optimizing construction processes and workflows.
Current Research
Panoptic Bridge Management (Asset Visualiser Deployment) - Phase 2
Railway Lineside Cable Failure Prediction
Intelligent Digital Structure Examination System (IDSES)
Panoptic Bridge Management (Asset Visualiser Deployment)
EPSRC Industrial Case Studentship
Selected Works
Masonry bridge inspection using point cloud data and 360-degree images: a case study on railway bridges
Journal of Performance of Constructed Facilities
Infrastructure automated defect detection with machine learning: a systematic review
International Journal of Construction Management
Indoor sound environments and visual media displays: a case study on canteens
Building and Environment
Optimized rescheduling of multiple production lines for flowshop production of reinforced precast concrete components
Automation in Construction
The impact of occupants' behaviours on building energy analysis: a research review
Renewable and Sustainable Energy Reviews
Let's Connect
For research collaborations, PhD supervision enquiries, or other academic matters.
Nottingham Trent University
PhD Opportunities
I welcome enquiries from prospective PhD students interested in digital construction, AI/ML, and reality computing technologies.
- Reality computing & 3D scanning
- AI/ML in construction
- AR, VR & serious games
- Digital Twins & BIM
- Bridge health monitoring