Makes learning engaging and enjoyable.
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James Mapp is a University Teacher in the School of Computer Science at the University of Sheffield, where he also serves as Discipline and Appeals Lead. A teaching-focused Computer Science generalist, he has interests in machine and computer vision, Digital Systems Design, and applied computing in ecology and conservation. Over several years, James has taught hardware-oriented subjects including digital electronics, architectures, and networks, as well as analysis topics such as computing for business, systems analysis, and development. He also focuses on student engagement and circumstances monitoring, drawing on significant experience with academic integrity, regulation, and disciplinary procedures.
James holds a Ph.D. from the University of East Anglia in applied computer vision and its application to biological image analysis, with research collaborations involving the Centre for Environment, Fisheries and Aquaculture Science and Diamond Light Source Ltd. His earlier studies include a Masters in Computing degree, following an Applied Computing Science degree with applications in ecology and conservation. His master's dissertation examined real-time lip reading systems in collaboration with the University of Surrey and the Home Office Strategic Development Branch. Prior to returning to academia, he worked as a tailor constructing bespoke suits for celebrity clients and Hollywood productions. His research applies computer vision and machine learning techniques to problems in the wider sciences, and he maintains interests in the use of generative AI in academia, particularly regarding academic integrity and responsible ethical use.