Zohreh Doborjeh

Zohreh is a Senior research fellow and lecturer, holding master’s and bachelor’s degrees with honours in Psychology, and a Ph.D. in Cognitive Neuroscience.

She has 8 years of research and teaching experience in the subjects of psychology, neuroscience, and neuroinformatics across different universities in New Zealand including the School of Population Health at the University of Auckland, the Knowledge Engineering and Discovery Research Institute (KEDRI) at Auckland University of Technology, and the School of Psychology at The University of Waikato.

Zohreh’s research interests are early diagnosis and prognosis of mental health issues and suggesting personalised interventions with respect to integration of neuroimaging, genetic, behavioural, social, and cognitive datasets. Additionally, she is a Mindfulness Facilitator, offering personalised mindfulness programs and serving as the Associate Editor of Mindfulness (Springer) journal.

Qualifications

• 2019–2020 Postdoctoral Fellowship, School of Population Health, The University of Auckland, Auckland, New Zealand
• 2015–2019 PhD, Cognitive Neuroscience, Auckland University of Technology, Auckland, New Zealand
• 2012–2014 MS (1st Class Hons), Psychology, Ferdowsi University, Iran
• 2008–2011 Bachelors (1st Class Hons) Psychology, Ferdowsi University, Iran

Publications

Articles:

1. (2023). Doborjeh, Z., Doborjeh, M., Sumich, Alexander., et al. Investigation of social and cognitive predictors in non-transition ultra-high risk’ individuals for psychosis using spiking neural networks. Nature Schizophrenia. DOI: 10.1038/s41537-023-00335-2
2. (2023). Doborjeh, M., Liu, X., Doborjeh, Z., Shen, Y., Searchfield, G., Sanders, P., … & Yan, W. Q. Prediction of tinnitus treatment outcomes based on EEG sensors and TFI score using deep learning. Sensors, 23(2), 902.
3. (2022). Crook-Rumsey, M., Howard, C. J., Doborjeh, Z., Doborjeh, M., Ramos, J. I. E., Kasabov, N., & Sumich, A. (2022). Spatiotemporal EEG Dynamics of Prospective Memory in Ageing and Mild Cognitive Impairment. Cognitive Computation, 1-27.
4. (2022). Doborjeh, M., Doborjeh, Z., Merkin, A., Krishnamurthi, R., Enayatollahi, R., Feigin, V., & Kasabov, N. (2022). Personalized Spiking Neural Network Models of Clinical and Environmental Factors to Predict Stroke. Cognitive Computation, 1-16.
5. (2021). Doborjeh, M., Doborjeh, Z., Merkin, A., Bahrami, H., Sumich, A., Krishnamurthi, R., … & Kasabov, N. Personalised predictive modelling with brain-inspired spiking neural networks of longitudinal MRI neuroimaging data and the case study of dementia. Neural Networks.
6. (2021). Searchfield, G., Sanders, Ph., Doborjeh, Z, Doborjeh, M, Roger Boldu, Sun, K and Barde, A. A state-of-art review of digital technologies for the next generation of tinnitus therapeutics. Frontiers in Digital Health.
7. (2020). Doborjeh, Z., Doborjeh, M., Crook-Rumsey, M., Taylor, T., Wang, G. Y., Moreau, D., … & Sumich, A. Interpretability of Spatiotemporal Dynamics of the Brain Processes Followed by Mindfulness Intervention in a Brain-Inspired Spiking Neural Network Architecture. Sensors, 20(24), 7354.
8. (2019). Doborjeh, M., Kasabov, N., Doborjeh, Z., Enayatollahi, R., Tu, E., & Gandomi, A. H. Personalised modelling with spiking neural networks integrating temporal and static information. Neural Networks, 119, 162.
9. (2019). Doborjeh, Z., Doborjeh, M., Taylor, T., Kasabov, N., Wang, G. Y., Siegert, R., & Sumich, A. Spiking Neural Network Modelling Approach Reveals How Mindfulness Training Rewires the Brain. Nature Scientific reports, 9(1), 6367.
10. (2018). Doborjeh, Z., Kasabov, N., Doborjeh, M. G., & Sumich, A. Modelling Peri-Perceptual Brain Processes in a Deep Learning Spiking Neural Network Architecture. Nature Scientific reports, 8(1), 8912.

You can find the complete list of publications on Google Scholar profile.

Professional Interests & Specialist Areas

• Managing the Electroencephalography (EEG) lab at the KEDRI Institute since 2015, leading projects that explore the intricacies of brain dynamics and mental health informatics.
• Co-Founder of the Neuroinformatics Research Society in New Zealand and co-leader of the Neuroinformatics theme at KEDRI/AUT.
• Associate Investigator, contributing to the development of AI software, NeuroGeMS, Te Ara Poutama ō Tāwhaki (Māori), designed for predicting mental health issues, funded with $2.2m by Ministry of Business, Innovation & Employment (MBIE) New Zealand- Singapore Data Science Programme and National Research Foundation, Singapore

Awards

• Global Young Scientist Summit Award in Singapore
• Postdoctoral Early Career Award, by Affect, Personality and Embodied Brain (APE), Nottingham Trent University, United Kingdom; and multiple best international paper presentations awards
• Outstanding Doctoral Award
• Dean’s Award of Excellence

You can find Zohreh at Brainspired.life, dedicated to promoting brain health. Meanwhile, her LinkedIn profile serves as a platform showcasing her extensive research and publications on mental health and neurological disorders.