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Dr Kay Rogage

Assistant Professor

Department: Computer and Information Sciences

I am a Research Fellow in Digital Living. An active member of Northumbria’s BIM Academy Research Team, my work spans across the disciplines of computer science and the built environment with a focus on enabling the interoperability of building models and tools to overcome the technical barriers around data exchange in the built environment. My work also focuses on the automatic augmentation of Building Information Model (BIM) data using Machine Learning techniques.

My previous roles have included Research Associate at Newcastle University and for Royal Institute of British Architects (RIBA) Enterprises developing a number of software products for the National Building Specification (NBS). I have also worked in a number of new digital media organisations such as TH_NK developing solutions for a range of digital formats. As a lecturer at Northumbria’s Computer Information Sciences Department, I apply my research and knowledge to both undergraduate and postgraduate taught programmes.

BIM Academy



  • Please visit the Pure Research Information Portal for further information
  • 3D object recognition using deep learning for automatically generating semantic BIM data, Rogage, K., Doukari, O. 13 Mar 2024, In: Automation in Construction
  • Reporting on the Development of a Web-Based Prototype Dashboard for Construction Design Managers, Achieved through Design Science Research Methodology (DSRM), Gledson, B., Rogage, K., Thompson, A., Ponton, H. 25 Jan 2024, In: Buildings
  • Addressing Design Management Challenges Through the Development of a Web-Based Platform, Gledson, B., Rogage, K., Luk, M., Tallet, E., Thompson, A., Landy, M., Wiggett, D. 5 Sep 2022, Proceedings of the 38th Annual ARCOM Conference, Association of Researchers in Construction Management (ARCOM)
  • Automating excavator productivity measurement using deep learning, Mahamedi, E., Rogage, K., Doukari, O., Kassem, M. 22 Apr 2022, In: Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction
  • Beyond digital shadows: A Digital Twin for monitoring earthwork operation in large infrastructure projects, Rogage, K., Mahamedi, E., Brilakis, I., Kassem, M. 28 Dec 2022, In: AI in Civil Engineering
  • Developing an Improved Process Model for Forensic Analysis of Construction Project Delays, Boyacioglu, S., Greenwood, D., Rogage, K., Parry, A., Gledson, B., Hinds, M. 5 Sep 2022, Proceedings of the 38th Annual ARCOM Conference, Association of Researchers in Construction Management (ARCOM)
  • Flexible Homes to Age in Place, Jones, P., Rogage, K., Cook, G. 20 Mar 2022
  • Incorporating Emerging Technologies in the Forensic Analysis of Construction Project Delays, Boyacioglu, S., Greenwood, D., Rogage, K. 1 Nov 2022, In: IOP Conference Series: Earth and Environmental Science
  • Object-centred automated compliance checking: a novel, bottom-up approach, Doukari, O., Greenwood, D., Rogage, K., Kassem, M. 19 Apr 2022, In: Journal of Information Technology in Construction
  • work/live unit for older people to remain active in employment, Jones, P., Cook, G., Rogage, K. Jul 2022

  • Jess Tindall The application of advanced optimisation techniques to drive improvements in the automation and efficiency of deep learning building energy prediction modelling. Start Date: 13/02/2024
  • Tom Lawrence Evolutionary and Handcrafted Efficient and Accurate Deep Neural Networks for Image Classification Start Date: 28/01/2021 End Date: 23/12/2022
  • Megan Doherty Exploring the expansion of planner’s engagement capabilities via accessing the data from a building information model for public consultation Start Date: 01/10/2018 End Date: 23/12/2022

  • Computing Science PhD December 27 2013
  • Media Studies MA September 01 2007
  • Computing Science BSc June 20 2001
  • Fellow (FHEA) Higher Education Academy (HEA) 2016

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