Mr James Cooper
Born and raised Aucklander. Completed undergraduate and Honours-level postgraduate study at the University of Auckland. Holds a BCom/BSc with majors in Accounting, Commercial Law, Computer Science and a specialisation in Logic & Computation; a BCom(Hons) in Commercial Law; and a BSc(Hons) in Computer Science. Currently working towards a PhD, with the Computer Science Department, with an expected finish date of June 2020.
Research | Current
Current research focus is on applying functional and parallel programming to computer vision, specifically investigating techniques for highly concurrent/parallel message-passing-based implementations of stereo matching algorithms, with a view to achieving performance at least comparable to other techniques, while both simplifying the programming and closely modelling the theoretical underpinnings of the algorithms.
- Awarded Best Student Paper at the 2017 Asian Conference on Membrane Computing
- Achieved First Class Honours for BSc(Hons), including two 'first in class' distinctions.
- Awarded University of Auckland Doctoral Scholarship.
Areas of expertise
- Functional programming
- Parallel & concurrent programming
- Computer Vision
- P Systems
Selected publications and creative works (Research Outputs)
- Anderson, A., Azhar, M., Cooper, J., James, J., Debes, J., Azhar, D., ... Hilman, J. (2017). A multi-scale framework for the automated surveying of the Whangateau estuary using off-the-shelf equipment. 2017 International Conference on Image and Vision Computing New Zealand (IVCNZ) Christchurch, New Zealand. 10.1109/IVCNZ.2017.8402506
Other University of Auckland co-authors: Trevor Gee, Patrice Delmas, Heide Friedrich, Simon Thrush
- Cooper, J., & Nicolescu, R. (2017). The travelling salesman problem in cP systems. Paper presented at The 6th Asian Conference on Membrane Computing (ACMC2017), Chengdu, China. 21 September - 25 September 2017. The 6th Asian Conference on Membrane Computing (ACMC2017). (pp. 17).
Other University of Auckland co-authors: Radu Nicolescu
- Cooper, J., Azhar, M., Gee, T., Van Der Mark, W., Delmas, P., & Gimel'farb G (2017). A Raspberry Pi 2-based stereo camera depth meter. Proceedings of the 15th IAPR International Conference on Machine Vision Applications, MVA 2017, 274-277. Nagoya, Japan: IEEE. 10.23919/MVA.2017.7986854
Other University of Auckland co-authors: Trevor Gee, Wannes van der Mark, Patrice Delmas, Georgy Gimel'farb