Dr Hannah Dee

BSc, MA, PhD, PGCTHE University of Leeds

Dr Hannah Dee

Senior Lecturer

Department of Computer Science

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. She is a women in computing activist: she founded the BCSWomen Lovelace Colloquium, a national conference for women undergraduate and taught MSc students in computer science, in 2008 and has been chair or deputy chair of the event every year since. She was on the committee of BCSWomen 2007-2023. Hannah appeared in the Computer Weekly women in IT top 50 four years running, and was inducted into their "Hall of Fame" in 2018. She was awarded the BCS Meritorious Service award for voluntary service across BCS Mid Wales and BCSWomen, 2016. She was a holder of a Suffrage Science award 2018-2020.  In 2024 she was awarded an MBE in the King's Birthday Honours list for services to technology and women in the information technology sector.

She has conducted research into applied computer vision, the detection of shadows and reasoning about shadows, and student attitudes to the study of computer science. Before coming to Aberystwyth, Hannah held postdoctoral positions in Grenoble (France), Leeds, and Kingston upon Thames. Now her research efforts centre on diversity and student teaching matters.

Note: Hannah is part-time and usually works Monday-Wednesday-Friday.

  • Athena SWAN

Encouraging early mastery of computational concepts through play. / Dee, Hannah; Freixenet, Jordi; Cufi, Xavier et al.
arXiv, 2020.

Research output: Working paper

Gendered microbehaviours in the UK computer science student community. / Dee, Hannah; Herman, Clem; Arnold, Gillian.
Conference of Professors and Heads of Computing, 2024. 31 p.

Research output: Book/ReportCommissioned report

Women in Tech: A practical guide to increasing gender diversity and inclusion. / Arnold, Gillian; Dee, Hannah; Herman, Clem et al.
British Computer Society, 2021. 240 p.

Research output: Book/ReportBook

3D surface texture analysis of high‐resolution normal fields for facial skin condition assessment. / Seck, Alassane; Dee, Hannah; Smith, William et al.
In: Skin Research and Technology, Vol. 26, No. 2, 03.03.2020, p. 169-186.

Research output: Contribution to journalArticlepeer-review

A Morphable Face Albedo Model. / Smith, William; Seck, Alassane; Dee, Hannah et al.
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2020. p. 5010-5019 (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (ISBN)

More publications on the Research Portal