Dr Chunli Ying

Job: Lecturer in Quantity Surveying

School/department: School of Engineering and Sustainable Development

Address: De Montfort University, The Gateway, Leicester, LE1 9BH

T: N/A

E: chunli.ying@dmu.ac.uk

 

Personal profile

I am a Lecturer in Quantity Surveying and Construction at De Montfort University, with a PhD in Civil Engineering from Loughborough University. My expertise is in digital twin technologies for bridge infrastructure. My career spans both academic research and industrial applications, combining theoretical advancement with practical engineering solutions. As a researcher and senior engineer in industry, I successfully led multiple R&D projects, and my current research applies digital twin technologies to quantity surveying practice.

Publications and outputs

  • Ying, C., El-Hamalawi, A., Chen, S., et al. (2025). Digital reconstruction and geometrical model updating of large-scale bridge structures: a case study of Baijusi bridge. Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction.
  • Ying, C., Chen, L., Han, D., et al. (2024). Developing a construction digital twin for bridges: a case study of construction control of long-span rigid skeleton arch bridge. In: Handbook of Digital Twins, 1st edn. CRC Press, pp. 687-704.
  • Ying, C., Chen, L., El-Hamalawi, A., et al. (2023). A novel hybrid approach for alignment modelling of virtual trial assembly of steel box girder bridge. 30th International Workshop on Intelligent Computing in Engineering (EG-ICE 2023), London, UK.
  • Zhu, H., Ying, C., Chen, Y., et al. (2026). Integrated multi-mode image-based corrosion assessment and probabilistic reliability framework for steel tower structures under uncertainty. Buildings, 16(11), 2250.
  • Chen, Y., Ying, C., Zhu, H., et al. (2026). Norm-driven generative BIM design: semantic parsing and automated layout for small-scale power infrastructure. Applied Sciences, 16(8), 3804.

A full list of 25 publications is available via ORCID and Google Scholar.

Research interests/expertise

  • Digital quantity surveying: automated quantity take-off and digital contract management
  • Digital twins and BIM application
  • Point-cloud modelling and 3D laser scanning
  • Construction economics and project management

Areas of teaching

  • Quantity surveying
  • Construction economics
  • Construction project management
  • BIM and digital construction

Qualifications

  • PhD in Civil Engineering, Loughborough University, UK, 2026

Courses taught

  • Economics of Construction
  • Project Management Practice

Consultancy work

  • Area of expertise: BIM implementation, 3D laser scanning, digital twin development and digital quantity surveying for infrastructure and building projects.
  • Currently available: Yes.

ORCID number

0009-0007-4103-584X
chunli-ying