Mark Fisher

Dr

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Personal profile

Biography

Website: http://www2.cmp.uea.ac.uk/~mhf/

Follow this link for details of current PhD opportunities in Computing Sciences. But feel free to email me to discuss projects outside these areas and alternative sources of funding.

Career

Mark started his career as an electronics apprentice with the Royal Radar Establishment, Malvern (http://college-of-electronics.org/), before reading Electrical and Electronic Engineering at Aston University. After graduating he joined Ferranti Computer Systems, Underwater Systems Group, Cheadle Heath, Manchester (http://en.wikipedia.org/wiki/Thales_Underwater_Systems#Cheadle_Heath). He returned to academia to study Microprocessor Engineering and Digital Electronics at UMIST and remained as a research assistant within the Department of Computation to gain a PhD in Applied Machine Learning. As a lecturer, Mark established a Machine Vision Research Group at Coventry Polytechnic before moving to UEA in 1998. His research interests now focus on medical image understanding and analysis and he has co-authored nearly 100 publications on applications of computer vision and image analysis in engineering, biosciences and medicine.

PhD Projects

Mark is keen to hear from prospective postgraduate students with interests in computer vision.

External Activities

  • Chair: IET Anglian Coastal Network (2008-09) www.theiet.org/anglian
  • External Examiner: BSc International Programmes, Faculty of Engineering and Computing, Coventry University (2007-09)
  • IET Anglian Coastal Network Schools Liaison Officer (2010-2015)
  • Norwich Engineering Society, Membership Secretary, (2013- )

Key Research Interests and Expertise

Mark's research interests are focused in biomedical applications of computer vision.

Selected Publications:

Zhang, L.; Fisher, M. & Wang, W.
Retinal vessel segmentation using multi-scale textons derived from keypoints
Computerized Medical Imaging and Graphics , 2015, 45, 47 - 56

French, G.; Fisher, M.; Mackiewicz, M. & Needle, C.
Convolutional Neural Networks for Counting Fish in Fisheries Surveillance Video. In T. Amaral S. Matthews, T. P. S. M. & Fisher, R. (Eds.)
Proceedings of the Machine Vision of Animals and their Behaviour (MVAB), BMVA Press, 2015, 7.1-7.10 (Note: Best Paper Award).

 

Key Responsibilities

Senior Adviser and Student Feedback
Quality Assurance Adviser
Industrial and Careers Liaison

Specialisms

Microprocessor engineering and digital electronics; computer vision; medical image understanding and analysis.

Network

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or