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.

Key Publications

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. 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, 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, 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
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

Current and Recent Projects

Please visit the Pure Research Information Portal for further information
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

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
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

Qualifications

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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