Projects

From theory to practice

We take new and emerging advancements in AI and apply them in a variety of ways – as exemplified by our diverse research projects.

Edvance

Edvance: Predicting and Guiding Student Success via AI-Powered Early Interventions

Edvance is an AI-powered system designed to promote student success by enabling the early identification of at-risk learners and delivering timely, personalised, and actionable feedback.
PolyFeed

PolyFeed: Enhancing feedback literacy and dialogic feedback using feedback analytics

PolyFeed is the first feedback analytics system built on principles of effective feedback that aims to scaffold feedback literacy and facilitate two-way feedback.
Multimodal Foundation Models

Multimodal Foundation Models and Agentic Frameworks for Neurology and Epilepsy Management

This project will deliver a nationally accessible platform for foundational neuroimaging models, with a multimodal AI use case in epilepsy care.
Screening models

Training Supervised Screening Models on 3+ Million Expert-Labelled Fundus Images

Researchers from the AIM Lab, in collaboration with China’s Airdoc and partner hospitals, have launched a landmark project to train screening models on over three million expert-labelled fundus images.
Melanoma Screening

AI-Enabled Melanoma Screening with 3D Total Body Photography

The project uses AI and 3D TBP to automatically detect and prioritise lesions most at risk of melanoma, enabling faster identification of high-risk cases within complex imaging data.