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
Fax: +64 7 858 5095

Research Interests

Artificial intelligence and health. I have several open projects available for good postgraduate students in this area so let me know if you are interested.

Teaching Commitments

Recent Publications

  • Mayo, M., Wakes, S., & Anderson, C. (2018). Neural networks for predicting the output of wind flow simulations over complex topographies. In X. Wu, O. Y. Soon, C. Aggarwal, & H. Chen (Eds.), Proc 2018 IEEE International Conference on Big Knowledge (ICBK) (pp. 184-191). Conference held Singapore: IEEE. doi:10.1109/ICBK.2018.00032 Open Access version:

  • Daoud, M., & Mayo, M. (2018). A novel synthetic over-sampling technique for imbalanced classification of gene expressions using autoencoders and swarm optimization. In T. Mitrovic, B. Xue, & X. Li (Eds.), Proc 31st Australasian Joint Conference on Advances in Artificial Intelligence (AI 2018) Vol. LNAI 11320 (pp. 603-615). Wellington, NZ: Springer. doi:10.1007/978-3-030-03991-2_55

  • Hirsz, M., Hunt, L., Chepulis, L., & Mayo, M. (2018). Associations between symptoms and colorectal cancer outcome in GP/hospital e-referrals. In Australasian Applied Statistics Conference. Rotorua.

  • Yogarajan, V., Mayo, M., & Pfahringer, B. (2018). Privacy protection for health information research in New Zealand district health boards. New Zealand Medical Journal, 131(1485), 19-26. Open Access version:

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