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
  • Zhang, Zijang (cosupervisor; in progress) Human-Centric Network Configuration Management with Transferable Security Knowledge
  • Zheng, Chen (cosupervisor; in progress) Detecting non-obvious neuroimaging abnormalities using deep learning-based generative models
  • 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
  • Hunter, Riley (cosupervisor; in progress) Multi-Task Learning Models for Energy Consumption
  • Wang, Hongyu (cosupervisor; in progress) User friendly deep learning
  • Hirsz, Malgorzata (cosupervisor; 2021) Epidemiological evidence that can help to improve timely diagnosis of colorectal cancer in New Zealand
  • 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 


  • Herbert, Callum (main supervisor; in progress) TBA
  • Whitten, Jesse (main supervisor; 2022) Deep learning-based tools and techniques for annotating and clinical analysis of cataract surgery videos
  • Gong, Hao (main supervisor; 2021) 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

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