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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.

  • 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

  • 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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