Artificial Intelligence and Machine Learning
Work in AI and machine learning spans unsupervised learning, pattern recognition, intelligent systems, and applied analytics across multiple domains.
Research
The research portfolio connects core artificial intelligence methods with interactive media, connected health, virtual production, and translational collaboration.
Work in AI and machine learning spans unsupervised learning, pattern recognition, intelligent systems, and applied analytics across multiple domains.
Research in games includes player modelling, game design, dynamic multi-player worlds, intelligent game agents, and interactive storytelling systems.
Health-related research includes virtual reality rehabilitation, brain-computer interfaces, game-based rehabilitation, and immersive technologies for patient support.
Recent work extends into virtual production, AI-assisted animation, creative technology networks, and collaborative innovation with external partners and funders.
Ulster University Pure public records show 95 research outputs and activity across publications, projects, prizes, and academic service.
Research has been supported through AHRC, Innovate UK, Horizon 2020, Invest NI, and industry-facing programmes.
Application domains include digital gaming, creative industries, health technologies, cloud systems, and interactive learning.