Artificial Intelligence, Games, XR, Health, Creative Technology

Artificial Intelligence, Games, and Interactive Systems.

Prof. Darryl Charles is Professor of Artificial Intelligence and Games at Ulster University, with work spanning machine learning, immersive systems, connected health, digital creativity, and translational innovation.

95
Research Outputs
18
h-index
2
Active Projects

Public profile snapshot refreshed from Ulster University Pure in March 2026.

Portrait of Prof. Darryl Charles

Overview

An academic and innovation leader whose work brings together AI, games, virtual production, XR, and health-focused applications.

Academic Profile

Prof. Charles applies AI expertise across game design, virtual and augmented reality, intelligent interactive storytelling, user modelling, cloud computing, and assistive health technologies.

  • Professor of Artificial Intelligence and Games, Ulster University
  • Course Director, BSc Game Design and Development
  • Co-founder and CTO, eXRt Intelligent Healthcare
  • Fellow of the Higher Education Academy

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Research

Research themes, current focus areas, and interdisciplinary context.

Projects

Active and recent funded projects across creative technology and health innovation.

Supervision

Current PhD researchers, near-completions, and completed doctoral supervision.

Research Themes

Artificial Intelligence

Machine learning, intelligent systems, pattern recognition, and applied analytics.

Games and Narrative

Game design, player modelling, intelligent storytelling, and interactive systems.

XR and Health

Virtual rehabilitation, brain-computer interfaces, and immersive health technologies.

Creative Innovation

Virtual production, animation pipelines, and translational partnerships with industry.

Teaching

Teaching is grounded in practical development, creative experimentation, and research-informed project work across games and interactive technologies.

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Supervision

The doctoral supervision portfolio spans AI, games, networks, rehabilitation, immersive systems, machine learning, and creative technologies.

View current and completed PhDs