Dr Kay Rogage

Associate Professor

School: Computer Science

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.

Key Publications

Please visit the Pure Research Information Portal for further information
Digital Carbon Footprint of Common Data Environments in ISO 19650 Compliant Construction Projects, Caldeira, H., Martinez, P., Rogage, K. 10 Feb 2026, In: Smart and Sustainable Built Environment
A Framework to Measure the Digital Carbon Footprint of Design Workflows, Rogage, K., Gledson, B., Ilhan Jones, B., Martinez Rodriguez, P. 17 Jul 2025, Proceedings of the 2025 European Conference on Computing in Construction (EC3) - CIB W78, Porto, Portugal. , Porto, Portugal, European Council on Computing in Construction (EC3)
Decarbonising Construction Equipment: Management Practices and Strategies for Net Zero in UK Infrastructure Projects, Saif, W., Rogage, K., Martinez, P., Kassem, M. 15 Feb 2025, In: Building and Environment
Enhancing Forensic Analysis of Construction Project Delays Through Digital Interventions, Boyacioglu, S., Greenwood, D., Rogage, K., Parry, A. 8 Jul 2025, In: Buildings
Optimising deep learning for smart building energy prediction: a particle swarm approach with real-world validation, Tindall, J., Rogage, K., Doukari, O. 15 Dec 2025, In: Journal of Building Engineering
3D object recognition using deep learning for automatically generating semantic BIM data, Rogage, K., Doukari, O. 1 Jun 2024, In: Automation in Construction
Can Machine Learning Automate Carbon Classification of Materials Within a BIM?, Abdulkadir, A., Rogage, K. 17 Jul 2024, Proceedings of the 2024 European Conference on Computing in Construction, Newcastle upon Tyne, UK, European Council on Computing in Construction (EC3)
Inductive Theorization of Construction Digital Twins: Deriving A Taxonomy of Applications and Enabling Technologies, Saif, W., RazaviAlavi, S., Rogage, K., Xie, X., Kassem, M. 14 Jul 2024, Proceedings of the 2024 European Conference on Computing in Construction, Chania, Greece, European Council on Computing in Construction (EC3)
Malware and botnet prevention in smart building IoT devices using blockchain-enabled federated learning, Taylor, C., Issac, B., Aslam, N., Rogage, K., Kelly, G. 24 Jun 2024, International Conference on AI and the Digital Economy (CADE 2024), Stevenage, IET
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

Current and Recent Projects

Please visit the Pure Research Information Portal for further information
Mobilising Interactive Cultural Heritage Trails in Urban Mobility Systems, Rogage, K. (Principal Investigator), Seedcorn Funding, 03/11/25 - 30/06/26, £19,773.00
Creation of a digital design management service for construction projects with an integrated decision support platform to facilitate collaboration and increase productivity., Gledson, B. (Principal Investigator), Rogage, K. (Co Investigator), Innovate UK, 01/06/19 - 31/05/21, £168,718.00

Professional Activity

Please visit the Pure Research Information Portal for further information
Participating in a conference, workshop, ...: BIM Show Live 2019 2019
Participating in a conference, workshop, ...: 32nd Annual Association of Researchers in Construction Management Conference, ARCOM 2016 2016

PGR Supervision

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