Centre for Artificial Intelligence Research (CAIR)

The Centre for Artificial Intelligence Research was first established in 2000 at Auckland University of Technology by Professor Albert Yeap. Its initial mission was to develop models of cognitive processes concerning how humans perceive their environment and how infants learn. More recently, the focus has shifted to include advanced AI algorithms for classification, prediction, pattern recognition and interpretation in a vast number of interdisciplinary applications, including mental/neurological health, bioinformatics, neuroinformatics, neuromarketing, neuro-tourism, neuro-architecture and neuro-fashion.


The CAIR's members are involved in advanced and multidisciplinary research projects to develop cutting-edge AI technologies. Find out more about some of the recent projects.

Computational Neuro-genetic Modelling for Diagnosis and Prognosis in Mental Health (2020-2023)

Dr Maryam Doborjeh has secured 2.1m via Catalyst: Strategic – New Zealand-Singapore Data Science Research Programme, supported by New Zealand Ministry of Business Innovation and Employment to develop a new computational neuro-genetic modelling based on machine-learning/AI methods for diagnosis of mental illnesses, particularly schizophrenia, using unprecedented level of data varieties, including cutting edge genomics, proteomics and metabonomic technologies.

This project is jointly coordinated with our Singapore partners from the Nanyang Technological University, Institute of Mental Health, and National University of Singapore.

Read about the Catalyst funds here:

Project team:

  • Professor Nikola Kasabov (Science Leader), AUT, New Zealand
  • Dr Maryam Doborjeh (Principal Investigator), AUT, New Zealand
  • Dr Wilson Goh (Principal Investigator), Nanyang Technological University, Singapore
  • Dr Zohreh Doborjeh (Co-Investigator), AUT, New Zealand
  • Professor Edmund Lai (key researcher), AUT, New Zealand
  • Dr Margaret Hinepo Williams (Vision Mātauranga), Public and Māori Health Research Lead, AUT, New Zealand

Personalised Prediction of Tinnitus Therapy Success using AI decision Tool: Neurological, Clinical, and Psychological Data

Dr Maryam Doborjeh secured $70,000 of funding supported by the Faculty of Design and Creative Technologies (Te Ara Auaha) Contestable Research Fund 2021 to develop AI algorithms for prediction of response to a variety of tinnitus therapy. This project is in collaboration with the University of Auckland, Hearing and Tinnitus Clinic and Eisdell Moore Centre.

Events and seminars

  • Monthly International Neuroinformatics Seminars series organised by Neuroinformatics group.



Centre members