Brings enthusiasm and expertise to class.
Encourages critical thinking and analysis.
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Professor Shlomo Berkovsky is a Professor in the Australian Institute of Health Innovation within the Faculty of Medicine, Health and Human Sciences at Macquarie University. He leads the Interactive Clinical AI research stream at the Centre for Health Informatics and is affiliated with the Lifespan Health and Wellbeing Research Centre. A computer scientist by training, he holds a PhD summa cum laude, an MSc cum laude, a BSc, and a Graduate Certificate in Commercialisation. His distinguished career encompasses establishing the Personalised Information Delivery team at the CSIRO ICT Centre, leading the Interactive Behaviour Analytics team at Data61, and managing Data Science and Product Analytics teams at Atlassian Inc. Berkovsky's research specializations include human-centric applications of AI and Machine Learning, such as user modelling, personalised technologies, recommender systems, decision-support systems, behaviour change systems, human aspects of cybersecurity, clinician and patient interactions with health technologies, predictive models using sensors and physiological responses, and generative AI tools in healthcare.
With over 200 peer-reviewed publications garnering more than 9,000 citations and an h-index of 49, Berkovsky has significantly influenced the fields of health informatics and human-AI interaction. Key publications include "Mobile health and privacy: cross sectional study" (BMJ, 2021), "Mediation of user models for enhanced personalization in recommender systems" (User Modeling and User-Adapted Interaction, 2008), "Aberrant beta-band network alteration preceding freezing of gait in Parkinson's disease" (Movement Disorders, 2026), "BraTS-UMamba: adaptive Mamba UNet with dual-band frequency based feature enhancement for brain tumor segmentation" (MICCAI 2025), and "AI-Assisted cardiovascular risk assessment by general practitioners in resource-constrained Indonesian settings using a conceptual prototype: randomized controlled study" (Journal of Medical Internet Research, 2025). He has earned major awards, including the Best Paper Award at the ACM CHI Conference (2019), Best Paper Award at the International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems (2006), Branko Cesnik Best Academic Paper Award at the Australian National Health Informatics Conference (2016), and High Commendation in the Data Innovation Awards (2022). Berkovsky has secured over $28 million in competitive funding, leading projects worth more than $6 million, serves as Editor-in-Chief of ACM Transactions on Interactive Intelligent Systems, chairs the Australian Computer Society, and has supervised 12 post-doctoral fellows, 14 PhD students, and numerous others. His impact extends to 17 keynote talks, 14 tutorials, and leadership in international conferences.
