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Hannah Dee

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Hannah Dee developed and runs the annual BCSWomen Lovelace Colloquium, the one-day conference for women computing students to encourage networking for women students from around the UK, in addition to gaining career development advice from successful women in computing. Hannah is a lecturer in computer science at Aberystwyth University,[1] with research areas in computer vision for the analysis of human behaviour; shadow detection and reasoning; and student attitudes to the study of computer science. She is noted for championing the cause of women in IT.

She was one of the 30 women identified in the BCS Women in IT Campaign in 2014 source[2] and was then featured in the e-book of these 30 women in IT, “Women in IT: Inspiring the next generation” produced by the BCS, The Chartered Institute for IT, as a free download e-book, from various sources. [3]


Academic qualifications

  • BSc Cognitive Science, Leeds 1996
  • MA Philosophy, Leeds, 1998
  • Postgraduate Certificate in Teaching and Learning, Leeds, 2001
  • PhD Computer Science, Leeds, 2005

Postdoctoral research positions

Before employment at Aberystwyth, she accepted a one year post doctorate position working in Grenoble (in the French alps). Prior to that she undertook a three year post doctorate in Leeds, and before that, six months in Kingston upon Thames.

Research area

Computer vision, specifically modelling visual change and patterns of motion, has worked in surveillance, analysing videos of human behaviour, modelling plant growth, modelling the way in which an artist's style changes over time. Teaching has mainly been in Artificial Intelligence and web programming. Hannah was awarded a university learning and teaching fellowship from Aberystwyth in 2012.

Publications

2012

Roscoe, Dee, Zwiggelaar, Coping with Noise in Ultrasound Images: A review, MIUA 2012 [4]

Ngoc-Son Vu, Hannah M. Dee and Alice Caplier "Face Recognition using the POEM descriptor", Pattern Recognition[5]

2011

Hannah M. Dee, Cohn, A. G. and Hogg, D. C. "Building semantic scene models from unconstrained video" Volume 116, Issue 3, March 2012, Pages 446.456 [6]

Paul Robson, Michal Mos, Hannah Dee, John Clifton-Brown and Iain Donnison (2011). Improving bioenergy crop yield and quality through manipulating senescence. In: Biomass and Bioenergy Crops IV. Aspects of Applied Biology 112, pp. 323–328.[7]

Hannah M. Dee & Paulo E. Santos (2011): The Perception and Content of Cast Shadows: An Interdisciplinary Review, Spatial Cognition & Computation,[8] 11:3, 226-25.

2010

Dee, H. M. and Caplier, A. "Crowd behaviour analysis using histograms of motion direction", IEEE International Conference on Image Processing (ICIP), 2010, Hong Kong.[9]

Santos, P. E., Dee, H. M. and Fenelon, V. "Knowledge-based adaptative thresholding from shadows" Accepted at the European Conference on Artificial Intelligence (ECAI), 2010, Lisbon, Portugal[10]

Awards

  • Hannah Dee was one of the 30 women identified in the BCS Women in IT Campaign in 2014. Who were then featured in the e-book "Women in IT: Inspiring the next generation" produced by the BCS, The Chartered Institute for IT, as a free downloade-book, from various sources.[11]

Hannah was voted 15th most influential woman in UK IT 2014.,[12] and is active on the Committee of BCSWomen.

In 2015, Hannah was identified as the 10th[13] Most Influential Women in UK IT 2015, by Computer Weekly.

Other activities

  • Dee is chair of the BCSWomen Lovelace Colloquium, annual event for women computing undergraduates, which she set up in 2008,
  • From 2008 to 2012 she was deputy chair of BCSWomen
  • She has been on the BCSWomen committee since 2007.
  • Dee has organised many events for women in computing and for broader groups with a women-friendly stance, including an android programming family fun day (materials available in Welsh and in English)[14]
  • She has been deputy chair of her local BCS branch (BCS Mid Wales) since 2011.

References

  1. ^ Aberystwyth University. "Staff Profiles". Retrieved 2013-10-04.
  2. ^ "Women in IT". BCS. Retrieved 14 October 2014.
  3. ^ Women in IT: Inspiring the next generation (PDF). British Computer Society. 1 Oct 2014. p. 57. ISBN 978-1-78017-287-3. Retrieved 14 Oct 2014.
  4. ^ "Coping with Noise in Ultrasound Images: A review".
  5. ^ "Face Recognition using the POEM descriptor".
  6. ^ "Building semantic scene models from unconstrained video".
  7. ^ "Improving bioenergy crop yield and quality through manipulating senescence".
  8. ^ "The Perception and Content of Cast Shadows: An Interdisciplinary Review, Spatial Cognition & Computation".
  9. ^ "Crowd behaviour analysis using histograms of motion direction".
  10. ^ "Knowledge-based adaptative thresholding from shadows".
  11. ^ Women in IT: Inspiring the next generation (PDF). British Computer Society. 1 Oct 2014. p. 57. ISBN 978-1-78017-287-3. Retrieved 14 Oct 2014.
  12. ^ "Computer Weekly Most Influential Women UK IT 2014". Retrieved 2014-07-01.
  13. ^ The 50 most influential women in UK IT 2015. Computer Weekly http://www.computerweekly.com/photostory/4500249406/Top-50-Most-Influential-Women-in-UK-IT-2015/10/10-Dr-Hannah-Dee-Lecturer-in-Computer-Science-at-Aberystwyth-University. Retrieved 11 July 2015. {{cite web}}: Missing or empty |title= (help)
  14. ^ "Android Programming Fun Day".

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