I am a lecturer and an emerging researcher at Auckland University of Technology , with a special interest in Neuroinformatics, which is an interdisciplinary filed of advanced Artificial Intelligence, combining disciplines from computer science, neuroscience, and psychology. In 2010, I secured $2.2m research grant for an international AI project as the Principal Investigator. This project titled “Computational neuro-genetic modelling for diagnosis and prognosis in mental health”, is funded by the New Zealand Ministry of Business, Innovation and Employment (MBIE) through the “2020 Catalyst Strategic - New Zealand Singapore Data Science Research Programme” for three years. I have been always passionate about disseminating the state-of-the-art knowledge in AI field and this has encouraged me to establish “Neuroinformatics Interest Group” as a founder that holds regular UK and NZ joined research seminars for raising awareness of AI applications in various fields including mental and neurological health. I completed my PhD at Auckland University of Technology in the field of AI to develop brain-inspired models for spatiotemporal brain data modelling which has a wide range of applications including mental/ brain health and well-being. Upon completion of my PhD in 2018, I started working as a Post-doctoral at AUT's KEDRI. My main research focus has been developing novel AI techniques, based on brain-inspired artificial intelligence (BI-AI) technologies, for precise detection and prediction of mental and neurological disorders; thereby, assisting humanity towards a better and healthier life. Hitherto, my work has been successfully applied to various neurological and psychological applications for detection and prediction of brain states (i.e. depression, Alzheimer, cognitive impairments, etc). My current projects are: - Personalized prognosis modelling system which creates a profile for each individual (patient) for the best possible output prediction/classification. -Predictive system for stroke occurrence, - Neuro-computational predictive models of MCI progression to dementia and Alzheimers. - Generic biologically-plausible methodology to investigate how patients respond to certain treatments. My contributions to research environment include associate editors in three reputable journals, conference chair, reviewing papers, oral presentations and tutorial involvement in international conferences. I am member in several research communities: IEEE, CIS, and American Academy of Neurology (AAN).