Biography:
Hannah-Mary Dee is a British cognitive scientist and computer scientist specializing in computer vision, with specialisms in plant science, navigation, art, and medical imaging. She has made significant contributions to the field of computer science, particularly in the analysis of human behavior using computer vision techniques. Dee’s research interests also extend to shadow detection and reasoning, as well as student attitudes towards the study of computer science. Throughout her career, she has been a strong advocate for women in IT and has actively organized events to promote the participation of women in computing.
Dee received a Bachelor of Science degree in Cognitive Science in 1996, a Master of Arts degree in Philosophy in 1998, and a Ph.D. in Computing in 2005, all from the University of Leeds. After completing her education, she embarked on a successful academic career, holding positions as a postdoctoral researcher at Kingston University, the University of Leeds, and Institut National Polytechnique de Grenoble. Since 2010, Dee has served as a Senior Lecturer in computer science at Aberystwyth University.
One of Dee’s notable contributions to the field is the development and organization of the annual BCSWomen Lovelace Colloquium, a one-day conference for women and non-binary computing students. The conference aims to encourage networking among female and gender non-conforming students from across the UK, as well as provide career development advice from successful women in computing. This initiative has played a significant role in empowering and inspiring women in the field of computer science.
Dee’s research has been published in various academic journals and conference proceedings. Some of her notable publications include Coping with Noise in Ultrasound Images: A review (MIUA 2012), Face Recognition using the POEM descriptor (Pattern Recognition), and Building semantic scene models from unconstrained video (Volume 116, Issue 3, March 2012). Her research in the field of computer vision and behavioral analysis has garnered attention and recognition within the scientific community.
In recognition of her contributions to the field of computer science and her advocacy for women in IT, Hannah Dee was featured in the e-book Women in IT: Inspiring the next generation. This e-book, produced by the BCS, The Chartered Institute for IT, showcases the achievements of 30 women in IT and aims to inspire and encourage the next generation of women in the field. Hannah Dee’s inclusion in this e-book highlights her impact and influence in advancing the role of women in the field of computer science.
Hannah Dee’s dedication to her research, advocacy for women in IT, and her contributions to the field of computer vision have made her a highly respected and influential figure. Her work continues to shape and drive advancements in computer science, and she serves as an inspiration for aspiring women in technology.
Awards:
– Featured in the e-book Women in IT: Inspiring the next generation (2014)