Dr Hannah Dee

BSc, MA, PhD University of Leeds

Dr Hannah Dee

Senior Lecturer

Contact Details


Hannah has a BSc in Cognitive Science (1996), an MA in Philosophy (1998) and a PhD in Computing (2005) all from the University of Leeds. Her research areas are applied computer vision; the detection of shadows and reasoning about shadows; and student attitudes to the study of computer science. She has held postdoctoral positions in Grenoble (France), Leeds, and Kingston upon Thames. She is also a women in computing activist: she founded the BCSWomen Lovelace Colloquium, a national conference for women undergraduates in computer science, and is still deputy chair. She has been on the committee of BCSWomen since 2007.


Module Coordinator
Additional Lecturer

Hannah enjoys teaching and has received several teaching awards since arriving in Aberystwyth:

  • Senior fellowship of the HEA (SFHEA), 2018
  • Student led teaching awards (SLTA), highly commended, technology enhanced learning category, 2016
  • Exemplary Course Awards (ECA), highly commended for Computer Vision, 2015
  • Exemplary Course Awards (ECA), highly commended for Client Side Graphics module, 2014
  • Student led teaching awards (SLTA), highly commended, teaching through technology category, 2013
  • Aberystwyth University Learning and Teaching Fellowship (AULTF), 2012

Research Groups


Shadow detection for mobile robots: Features, evaluation, and datasetsNewey, C., Jones, O. & Dee, H., 2017 , In : Spatial Cognition and Computation.p. 1-2323 p.
Watching plants grow: A position paper on computer vision and Arabidopsis thalianaBell, J. & Dee, H., 2017 , In : IET Computer Vision.11, 2, p. 113-1219 p.
Probabilistic self-localisation on a qualitative map based on occlusionsSantos, P. E., Martins, M. F., Fenelon, V., Cozman, F. G. & Dee, H., 2016 , In : Journal of Experimental & Theoretical Artificial Intelligence.28, 5, p. 781-79919 p.
Visual digital humanities: using image data to derive approximate metadataDee, H., Hughes, L., Roderick, G. L. & Brown, A. D., 2016 , Managing Digital Cultural Objects: Analysis, discovery and retrieval. Foster, A. & Rafferty, P. (eds.). London: Facet Publishing, p. 89-11021 p.
Special issue on computer vision and image analysis in plant phenotypingScharr, H., Dee, H., French, A. & Tsaftaris, S. A., 2016 , In : Machine Vision and Applications.27, 5, p. 607-6093 p.
More publications on the Research Portal