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PhD projects

Medical imaging
Computer vision
Image processing, especially applied to 3D imaging
Signal processing, especially physiological signal processing
Machine Learning in theses domains

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Personal profile

Biography

John has lectured across a range of fields. His teaching has included Digital Signal Processing, Measurements, Circuits and Video Data at UoP and he has worked in signal and image processing for over twenty years with some established collaborators and a track record of supporting research projects at Surrey, Bristol and Portsmouth, including funding from Google and Mitsui Sumitomo Insurance Welfare Foundation. He began academic research with a doctoral training grant in the Centre for Vision, Speech and Signal Processing (CVSSP) at Surrey in the early 2000s, investigating medical image analysis applied to MRI, PET and CT. He is a member of the IET and IEEE. He received awards from IEEE and IPEM and has been the PI for projects concerning the manipulation of data, especially applied to fibrous materials, forecasting of blood pressure and identifying people and their actions.

Research Interests

John leads work on techniques for the automated analysis of 3D imaging data. The work is multidisciplinary -
spanning multiple disciplines but concentrating on feature extraction and quantitative inference. The work has been successfully applied to fibrous materials, forecasting of blood pressure and identifying people and their actions.

This includes applications to image analysis of XCT for nano-fibres for biomedical and health applications and steel fibre reinforced concrete. John is also working on automated video processing techniques with applications including assisted living and more general action recognition. John is happy to supervise graduate and research projects in these areas and more generally in the fields of signal and image processing.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 9 - Industry, Innovation, and Infrastructure

Education/Academic qualification

Ph.D., University of Surrey

1 Sep 20021 Jul 2006

Award Date: 15 Oct 2006

External positions

External Examiner (PhD), Department of Computer Science, Swansea University

24 May 2022

Electronic and Computer Engineering Lecturer, Mae Fah Luang University

1 Jan 20091 Aug 2013

Post-Doctoral Research Assistant in Computer Vision, University of Bristol

2 Jan 200712 Dec 2008

C++ Laboratory Demonstrator, University of Surrey

20032005

Image Processing Laboratory Demonstrator, University of Surrey

20032004

Software Engineer, Voxar

1 Oct 20001 Aug 2001

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