Dr Didi Surian is a Research Fellow in network science and machine learning at the Centre for Health Informatics (CHI), Australian Institute of Health Innovation (AIHI). He has a PhD in Information Technologies from The University of Sydney. Didi has over 10 years research experience in machine learning, data mining, and information retrieval. Didi has a total of citations of >900 with h-index of 13 (Google Scholar, April 2021). He is an active reviewer for several journals and venues (BMC Medical Informatics and Decision Making, Journal of Medical Internet Research, Journal of the American Medical Informatics Association, IEEE Access, Algorithms, AMIA Annual Symposium, etc.).

Didi's current research area is in health informatics and his research seeks to investigate public health issues such as vaccine hesitancy and refusal mined from social media, the efficiency and automation processes of systematic reviews and updates, study of human movement using wearable sensors, and automate the surveillance of digital health technology safety problems.

Eliza Harrison. MRes (completed in 2020, co-supervised with A/Prof Adam G. Dunn). Thesis: Using machine learning methods to detect health claims made in online forums.

Rabia Bashir. PhD (completed in 2019, co-supervised with A/Prof Adam G. Dunn). Thesis: Using software engineering principles to improve the completeness and efficiency of the systematic review ecosystem. Awarded the 2019 Ramy Razavian Dean's Award for Excellence in Higher Degree Research.

Health informatics; evidence synthesis; automation of systematic reviews; machine learning; information retrieval; data mining; outlier detection;