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ProfessorPhil Bones

Emeritus Professor

Electrical and Computer Engineering

Orcid identifier0000-0003-1611-7601 (opens in a new tab)⁠
  • Emeritus Professor
    Electrical and Computer Engineering
  • +6433694304 (Work)

BIO

Research interests over my career include:
-Image processing, in particular recovery of images by deconvolution, astronomical speckle imaging, medical imaging
-Machine vision
-Biomedical signal processing, especially EEG and ECG
-Neuromorphic computing

TE WHARE WĀNANGA O WAITAHA - UNIVERSITY OF CANTERBURY APPOINTMENTS

  • Emeritus Professor
    University of Canterbury, Electrical and Computer Engineering, Faculty of Engineering9 Dec 2022 - present

DEGREES

  • PhD
    University of Canterbury, New Zealand
  • ME
    University of Canterbury, New Zealand
  • BE(Hons)
    University of Canterbury, New Zealand

CERTIFICATIONS

  • Fellow
    International Society for Optical Engineering, Bellingham, United StatesDec 2017 - present
    Philip Bones started his career in biomedical engineering, working in cardiology, where his research included using image processing techniques to extract information from cineangiograms. After receiving his doctorate, he spent two years in Europe, one as postdoctoral fellow at Imperial College, London, England, and one as Alexander von Humboldt Fellow in the University of Heidelberg, Germany. He has been on the faculty of the University of Canterbury since 1988. He was chair of the Department of Electrical and Computer Engineering from 2012 until 2015. As university teacher and researcher, he has supervised 28 doctoral students and 12 masters students. The majority of these students have been working in problems in optics, imaging or image processing. In particular there has been an emphasis on image recovery problems, i.e., situations where insufficient data is available to form a good image directly. Examples of specific research contributions are: An analysis and simulation of Compton scattering gamma camera; Using the properties of analytic functions to show that blind deconvolution in two and higher dimensions has a theoretical basis and studies of possible applications of the theory; Processing digital mammogram images to detect micro-calcifications; A laser based eye tracking system for detecting abnormal translational and torsional nystagmus; The use of subsampling to speed up magnetic resonance (MR) imaging; The detection and correction of motion in MR imaging; MR imaging near metal and development of a new algorithm for fat-water separation, POP. He has played a leading role in the New Zealand imaging and optics community for over 20 years. In particular he has played a leading role in the annual conference “Image and Vision Computing New Zealand", which brings together a large number of the researchers in New Zealand and the Asia-Pacific region. He has actively participated in SPIE events for a number of years: as conference co-chair, as conference program committee member, as paper author and presenter, and as a short course presenter.

FACULTY

  • Faculty of Engineering