Mr James Cooper
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 simplifying parallel programming, with a particular interest in embedded and mobile systems (e.g. smartphones, Raspberry Pi). The hope is to provide the benefits of high-level functional programming languages while retaining much of the speed and efficiency of C or Assembly. Also interested in computer vision, especially the use of parallel programming to improve the speed of processing for real-time applications.
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.
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