School Of Computing and Mathematics

    Research areas

  • QA76 Computer software - Computer Vision, 3D Imaging
  • L Education (General) - Self-assessment

Research interests

My main research interests are focused on computer vision, particularly on 3D imaging. My initial PhD research focused on real time use of stereoscopic 3D cameras for medical applications. While my current research projects have expanded into Virtual reality for data visualisation and use of augmented and mixed reality to facilitate remote learning. These two fields complement each other well and a lot of great developments are being made every day and it’s not going to slow down any time soon.

Additionally, student learning is of great interest to me. My research looks at self-assessment of students and its use to improve both students and lecturers understanding of the whole teaching and marking process. This research has led to some great results and allowed to improve my own teaching and overall student understanding of their own work.


I have led numerous computer vision research projects which included partnerships with companies small and big as well as the larger organisations such as NHS. 


Computer Science, Research, Higher Education, Academic Writing, Data Analysis, Algorithms, Object Oriented Design, Curriculum Design, Curriculum Development, Science, Research Design, Image Processing, Game Development, Data Science, Programming, C++ Language, Software Design Patterns, Knowledge Representation, Soft Computing, University Teaching, Computer Vision, 3D Imaging

Research output

  1. Using rubrics to improve the assessment lifecycle: a case study

    Research output: Contribution to journalArticlepeer-review

  2. Improving the Learner Lifecycle through Technology

    Research output: Contribution to conferencePaperpeer-review

  3. Segmentation of infrared images using stereophotogrammetry

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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