Dr Michael Mayo

Senior Lecturer (Computer Science)

Qualifications: BA(Hons) Otago PhD Cant

Contact Details

Room: G.2.24
Phone: +64 7 838 4403
Extension: 4403

Research Interests

Artificial Intelligence, deep/machine learning, heuristic search algorithms, and ways to apply and implement them in various other disciplines such health/medicine and edge computing

Research Supervised


  • Gunasinghe, Hansi (main supervisor; in progress) Towards solving the unseen domain problem in machine learning-based glaucoma detection using retinal fundus images
  • Rodrigues, Mark (main supervisor; in progress) Neuro-symbolic artificial intelligence for surgical tool management
  • Lu, Lisa (main supervisor; in progress) TBA
  • Zhang, Zijang (cosupervisor; in progress) TBA
  • Zheng, Chen (cosupervisor; in progress) Detecting non-obvious neuroimaging abnormalities using deep learning-based generative models
  • Hirsz, Malgorzata (cosupervisor; in progress) Epidemiological evidence that can help to improve timely diagnosis of colorectal cancer in New Zealand
  • Madurapperumage, Anuradha (cosupervisor; in progress) Chronological risk estimation and prediction in health informatics through a knowledge-based system: an application to complications of diabetes mellitus
  • Wang, Hongyu (cosupervisor; in progress) User friendly deep learning
  • Daoud, Maisa (main supervisor; 2020) Autoencoder-based techniques for improved classification in settings with high dimensional and small sized data
  • Zhang, Edmond Yiwen (main supervisor; 2012) Improving bags-of-words model for object categorization 


  • Whitten, Jesse (main supervisor; in progress) Deep learning-based tools and techniques for annotating and clinical analysis of cataract surgery videos
  • Gong, Hao (main supervisor; in progress) Surgical instruments classification using bag of visual words model
  • Bradley, Neil (main supervisor; 2020) Hokohoko: a comprehensive framework for evaluating artificial intelligence-based and statistical techniques for foreign exchange speculation
  • Wang, Hongyu (main supervisor; 2019) Metaheuristic optimisation of insulin infusion protocols using historical data with validation using a patient simulator
  • Zheng, Chen (main supervisor; 2016) Surrogate assisted evolutionary algorithms for wind farm layout optimisation problem

Teaching Commitments

Recent Publications

  • Gunasinghe, H., McKelvie, J., Koay, A., & Mayo, M. (2021). Comparison of pretrained feature extractors for glaucoma detection. In Proc 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI) (pp. 390-394). Nice, France: IEEE. doi:10.1109/isbi48211.2021.9434082

  • Madurapperumage, E., Wang, W. Y. C., & Mayo, M. (2021). A systematic review on extracting predictors for forecasting complications of diabetes mellitus. In 2021 5th International Conference on Medical and Health Informatics (ICMHI). Virtual.

  • Wang, H., Chepulis, L., Paul, R. G., & Mayo, M. (2021). Metaheuristic optimization of insulin infusion protocols using historical data with validation using a patient simulator. Vietnam Journal of Computer Science, 8(2), 263-290. doi:10.1142/s2196888821500111 Open Access version:

  • Wang, H., Chepulis, L., Paul, R., & Mayo, M. (2021). Optimising continuous intravenous insulin protocols using artificial intelligence. Poster session presented at the meeting of New Zealand Society for the Study of Diabetes Annual Scientific Meeting. Wellington, NZ.

Find more research publications by Michael Mayo