• A Framework to Support Distributed Business Process Analytics
  • Agent-Based Models to Support Pandemic Planning:
  • Analysis and predication of growth in dynamic graphs on social media (co-supervised with Josephine Griffith)
  • Artificial Intelligence for Non-Player Characters in Computer Games
  • Automated Task Allocation for Software Project Management
  • Business Intelligence and Big Data analysis for Finance
  • Collaborative Care Pathway Modelling and Management
  • Communication skills for Game AI
  • Comparison, Clustering and Search for Chemical Spectroscopy Data
  • Complexity and difficulty in strategy games
  • Contextualized web browsing
  • Design of suitable weighting schemes for graph based representations in Information Retrieval
  • Detecting Structures in Complex Social Networks using Evolutionary Algorithms
  • Distributed Data Mining With Low Cost Processors and Geolocation
  • Distributed Risk Assessment
  • Evolution of Cooperation through in P2P File Sharing Environments
  • Evolving game playing strategies
  • Examining the use of Evolutionary Algorithms in Evolutionary Game Theory
  • Exploring Learning Approaches on the Cloud
  • Generating and visualising predictions in social media (co-supervised with Josephine Griffith)
  • HCI Research
  • Health Care Demographic Model 2030
  • Honeypots and Honeynets for WSN
  • Information Retrieval without queries
  • Learning for Robocup Soccer Tournament
  • Mining and Visualization of Historical Census Data
  • Multi-Agent Learning for Smart Energy Management
  • Multi-Agent Simulation for building planning.
  • New Methods for Probabilistic Anomaly Detection in Real Time
  • New Techniques for Analysis of Intensive Care Unit Data
  • Non-Player Characters in Computer Games that Pass the Turing Test
  • Particle Swarm Optimization for Multi-Agent Simulation
  • Personalised Intensive Care Medicine Using Probabilistic Model-Based Data Analytics
  • Personalised user interaction in social media systems (co-supervised with Karen Young)
  • Probabilistic Model-Based Data Stream Analytics
  • Public Health Analytics
  • Quantifying the impact of IP Network best-effort compensation strategies on wideband and superwideband speech applications
  • Random graph generation (co-supervised with James Cruickshank (Mathematics))
  • Recommendation and Collaborative Filtering
  • Relational Reinforcement Learning in complex environments
  • Semantics of semi-structured data on the Internet
  • Social Media Analysis and Tools
  • Statistical Sampling, Classification and Prioritisation of Network Flow Data
  • Strategy Choice in Quantum Evolutionary Game Theory (co supervised with Michael McGettrick (Mathematics))
  • Technology enhanced learning: increasing user satisfaction
  • The role of social structure and norms on agent behaviors
  • Trading Commercial Agents
  • Using Genetic Algorithms to crack codes