We conduct innovative artificial intelligence research to tackle real-world problems across various domains. Our team specialises in machine learning, natural language processing, computer vision and ethical AI systems, working closely with industry and community partners. We also focus on human-AI interaction and AI applications for healthcare, education and environmental sustainability. We're dedicated to creating culturally aware and responsible AI technologies that benefit society and make a positive impact on people's lives.
Our recent projects
AI in Tinnitus (EEG-Based Prediction)
This project uses AI and EEG data to predict individual responses to tinnitus treatment.
NeuroGeMS: Multimodal AI Data Science Platform
NeuroGeMS is a system for integrating and modelling multimodal data (e.g., genomics, EEG, behavioural data) - an MBIE-funded project
Topology Preserving Reservoirs (TPR)
Improving zero-shot image recognition for accurate classification of both seen and unseen objects
NeuCube: Brain-Inspired AI System
NeuCube is a brain-inspired spiking neural network (SNN) platform for modelling spatio-temporal data.
Unsupervised dense prediction via Normalized Cuts
Enhancing self-supervised computer vision with Differentiable Normalized Cuts
Multimodal brain MRI analysis
Analysing multimodal MRI to reveal how subcortical stroke changes brain connectivity tied to executive function