Research

AI Research Areas

Academic members work across interconnected areas that span fundamental artificial intelligence research and applied work in healthcare, robotics, language and intelligent systems. Most members appear under more than one.

Computer Vision & Multimodal AI

Advancing visual understanding, vision-language models, object detection, and multimodal AI for real-world applications.

Computer vision
Multimodal learning
Vision-language models
Object detection

8 researchers

Medical Imaging & Healthcare AI

AI-powered medical imaging, clinical risk assessment, segmentation of medical scans, and digital health innovation.

Medical image analysis
Clinical risk assessment
Image segmentation
Digital health

6 researchers

Natural Language Processing & VLMs

Research in NLP, large language models, vision-language models, ontology engineering and multilingual information extraction.

Natural language processing
Large language models
Multilingual NLP
Information extraction

4 researchers

Explainable / Trustworthy AI

Building interpretable, transparent, and responsible AI systems — including XAI for agents, robots, and healthcare.

Explainable AI
Interpretable machine learning
Responsible AI
Trustworthy autonomous systems

4 researchers

Human-Robot Interaction & Robotics

Continual learning, biomedical signal analysis, and explainable robotics for human-centred autonomous systems.

Human-robot interaction
Continual learning
Autonomous systems
Biomedical signal analysis

3 researchers

Graph Learning / AIoT / Smart Systems

Graph neural networks, generative & responsible AI, AIoT, and intelligent education-domain (AIED) applications.

Graph neural networks
AIoT
Smart systems
Generative AI

3 researchers

Optimisation & Fuzzy Systems

Particle swarm optimisation, fuzzy systems, early action recognition, and machine-learning-driven optimisation methods.

Particle swarm optimisation
Fuzzy systems
Machine learning optimisation
Early action recognition

3 researchers