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Song Wu Staff Profile Photo

Song Wu

Professor

School of Architecture Design and the Built Environment

Staff Group(s)
Construction Management

Role

Professor of Construction Management

Career overview

Professor Wu is an internationally leading researcher in digital construction with more than 20 years’ experience in the UK higher education sector. During his academic career, he has progressed from research student to research assistant, research fellow, lecturer, senior lecturer, reader and professor. At the same time, He undertook a number of management roles, including programme leader, departmental lead, director of teaching and learning and associate dean of teaching and learning. He is also a Fellow of the Higher Education Academy, a Fellow of the Charted Institute of Building and Charted Member of Charted Management Institute.

Research areas

Professor Wu is an expert in computer modelling and data analysis in the built and human environment. His current research interest lies in the area of reality computing and Artificial Intelligence, which covers 3D scanning, UAV data capture, Augmented Reality, Virtual Reality, serious game technology, and Artificial Intelligence. He has been the academic lead of the Network Rail sponsored Panoptic Bridge Management project since 2019, developing the next generation of digital bridge examination processes and systems for Network Rail. He recently secured over £2.5m in research grants, including an AHRC serious game to combat gender-based violence, Innovate UK KTP projects, and Highway England and Network Rail research in those areas.

He was the lead researcher on a number of UK EPSRC-funded projects, including '3D to nD modelling', 'nD game – using gaming technology to engage school children', 'Process Protocol', 'Salford: China research tour', etc. In 2010, he was awarded the UK-China Fellowship for Excellence for his collaborative research with leading Chinese research institutions. In 2012, he was awarded RICS Education Trust funds to investigate how Building Information Modelling supports surveying practice in the UK. In 2015, his work on human behaviour simulation for energy simulation was supported by the Royal Academy of Engineering.

His research works have been widely published in over 100 research publications around the world.

External activity

2023 External Validation Panel University College of Estate Management

2022 PGT External Examiner Aston University

2020 PhD External Examiner Liverpool University, UK

2020 PhD External Examiner Cardiff University, UK

2019 PhD External Examiner Hong Kong Polytech University, Hong Kong, China

2017 PhD External Examiner Teesside University, UK

2016 PhD External Examiner Queensland University of Technology, Australia

2015 -2019 PGT External Examiner Oxford Brooke University

2014 External Validation Panel Oxford Brooke University

2014 Visiting Scholar of Huazhong University of Science and Technology, China

2013 Visiting Scholar of Curtin University, Australia

Regular reviewer for Automation in Construction, Advanced Engineering Informatics, Journal of IT in Construction Construction, Computer-Aided Civil and Infrastructure Engineering; Advance engineering informatics, Journal of Architectural Engineering & Design Management

Sponsors and collaborators

2024 to 2026 Principal Investigator, Intelligent Digital Structure Examination System (IDSES): Emphasis On Machine Learning Image Analysis And Deep Learning-Based Point Cloud Analysis For Efficient Structural Assessment - 10084333 – KTP, (Total grant: £212,249.00)

2023 to 2025 Principal Investigator, Panoptic Bridge Management - Structure health management (Asset Visualiser Deployment), (Total grant: £383,345.00)

2022 to 2023 Principal Investigator, EU/Network Rail In2Track3 - Bridge Health Monitoring - Optical monitoring methods for geometry and digitalisation with Network Rail (Total grant: £135,000)

2021 to 2022 Principal Investigator, Panoptic Bridge Management - Bridge surface defects detection with Network Rail (NTU grant: £100,000, Total grant: £250,000)

2021 to 2023 Co-Investigator, Emilio, a prosocial video game to combat online child sexual exploitation and abuse (UNICEF) (NTU-Total grant: £30,000, Total grant:£600,000)

2020 to 2024 Principal Investigator, EPSRC Industrial Case studentship with Network Rail (Total grant: £140,000)

2019 to 2020 Principal Investigator, EU/Network Rail In2Track2 - Bridge Health Monitoring -Optical monitoring methods for geometry and digitalisation (Total grant £103,282)

2019 to 2020  Principal Investigator, Network Rail R&D - Panoptic Bridge Management (Total grant: £354,578)

2018 to 2023 Co-Investigator, None in Three Research Centre (AHRC), WP3 leader – game development (Total Grant: £900,000)

2017 to 2020 Principal Investigator, KTP with Waldeck, UAV integration with Building Information Modelling, (Total grant: £143,000)

2018 Principal Investigator, Highway England Research Project – Road surfacing simulation (Total grant, £40,000)

2015 Principal Investigator, Newton Research Collaboration Programme, Funded by Royal Academy of Engineering (Total grant: £7,300)

2013 Principal Investigator, KTP with ProcurePlus, Performance Management System - Active Framework Management Tool funded by Technology Strategy Board. (Total grant: £122,000).

2012: Principal Investigator, BIM support RICS New Rule of Measurement, awarded by RICS Education Trust, (Total grant: £7,500)

2011, Co-Investigator, KTP with Create Construction, funded by Technology Strategy Board. The KTP partnership has led to the winning of the 2012 Business Innovation award by Create Construction in the North West Construction industry Annual award. (Total grant: £122,000).

2010: Principal Investigator, UK-China Fellowship in Excellence, awarded by UK Department for Business, Innovation and Skills, (Total grant: £13,200)

Publications

Selected Recent Publications:

Ye, K., Luo, H., Kang, J., & Wu, S. (2020). Indoor sound environments and visual media displays: a case study on canteens. Building and Environment, 176, https://doi.org/10.1016/j.buildenv.2020.106831

Ma, Z., Yang, Z., Liu, S., & Wu, S. (2018). Optimized rescheduling of multiple production lines for flowshop production of reinforced precast concrete components. Automation in Construction, 95, 86-97. https://doi.org/10.1016/j.autcon.2018.08.002

Delzendeh, E., Wu, S., Lee, A., & Zhou, Y. (2017). The impact of occupants’ behaviours on building energy analysis: a research review. Renewable and Sustainable Energy Reviews, 80, 1061-1071. https://doi.org/10.1016/j.rser.2017.05.264

Ding, L., Zhong, B., Wu, S., & Luo, H. (2016). Construction risk knowledge management in BIM using ontology and semantic web technology. Safety Science, 87, 202-213. https://doi.org/10.1016/j.ssci.2016.04.008

See all of Song Wu's publications...