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 (metaheuristics, machine learning, etc) and it applications in health/medicine.

Teaching Commitments

Recent Publications

  • Wakes, S. J., Bauer, B. O., & Mayo, M. (2021). A preliminary assessment of machine learning algorithms for predicting CFD-simulated wind flow patterns over idealised foredunes. Journal of the Royal Society of New Zealand. doi:10.1080/03036758.2020.1868541

  • 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:

  • Erandathi, M. A., Wang, W. Y. C., & Mayo, M. (2020). Predicting diabetes mellitus and its complications through a graph-based risk scoring system. In Proc 4th International Conference on Medical and Health Informatics (ICMHI 2020) (pp. 1-7). Kamakura City, Japan: ACM. doi:10.1145/3418094.3418115

  • Lu, Y., Koay, A., & Mayo, M. (2020). In silico comparison of continuous glucose monitor failure mode strategies for an artificial pancreas. In K. Bach, R. Bunescu, C. Marling, & N. Wiratunga (Eds.), Proc 5th International Workshop on Knowledge Discovery in Healthcare Data (KDH 2020) Vol. 2675 (pp. 53-57). Santiago de Compostela, Spain & Virtually: CEUR Workshop Proceedings. Retrieved from Open Access version:

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