I have a broad set of research interests which all relate to examining agent interactions and decision making across a range of problem areas. While my research can be classified in the broader sense by Artificial Intelligence and Software Engineering, a more specialized classification would include some of the following areas.
- Multi-Agent Systems
- Learning and Evolution
- Reinforcement Learning
- Multi-Objective Optimisation & Multi-Agent Multi-Objective Optimisation
- Real-Time Adaptive Event Decision Systems
- Complex Adaptive Systems
- Deep Learning
- Data Analytics and Business Intelligence
- System Dynamics & Simulation
- Norms and Social Networks
- Cloud Computing
- Urban Analytics
- Smart Cities
Postgraduate Students
(Funded Research Candidates)
- Nix Mc Donnell, “Multi-Agent AI Approaches for Smart Cities & Urban Analytics”, PhD Candidate. (ICHEC)
- Martin Duggan, “Applying Learning and AI Approaches to Cloud Data Centers”, PhD Candidate. (College of Engineering Scholarship)
- Rachael Shaw, “Applying Reinforcement Learning and AI Approaches to Cloud Data Centers”, PhD Candidate. (Irish Research Council Funded)
- Martina Curran, “Agent Based Simulation of Public Health Inoculation Strategies”, PhD Candidate. (Irish Research Council Funded)
- Patrick Mannion, “Multi-Agent Learning Algorithms for Smarter Cities & Urban Analytics”, PhD Candidate. (Irish Research Council Funded)
- Karl Mason, “Advanced Optimisation Techniques”, PhD Candidate. (College of Engineering Scholarship)
- Sajad Mousavi, “Reinforcement Learning for Multi-Agent Systems and Robotics”, PhD Candidate. (College of Engineering Scholarship)
- Siobhan Moran, “SmartBay Marine Data Analytics”, MSc Candidate. (Irish Research Council & SmartBay Co-Funded)
(MSc Thesis Candidates)
TBC
(Graduates)
- Gearóid Diviney, “Simulation of Multi-Agent interactions via Online Communities”, MSc.
- Kieran Flesk, “AI Optimisation approaches for Autonomic Cloud Computing”, MSc.
- Caitriona Kellehan, “Advanced Particle Swarm Optimisation Techniques”, MSc.
- Karl Mason, “Advanced Particle Swarm Optimisation Techniques”, MSc.
- David McMahon, “Cloud Data Center Efficiency Techniques”, MSc.
- Ian Broderick, “Particle Swam Optimisation with Enhanced Memory Particles”, MSc.
- Sean Feeney, “Optimising Energy Efficiency in Virtualised Data Centers”, MSc.
- Philip Tuomey, “Optimising Hadoop MapReduce Configuration Parameters for Data Intensive Workloads”, MSc.
- Cathal Freeman “An Examination of Learning Technologies in ICT Education”, MIT.
- Mariana Tomanova “Educational Games for Improved Security Awareness”, MIT.
- Karen Staunton “Exploring EBay Trading Data”, MSc.
- Michael O’Hara “Complex Multi-Agent Interactions using Tag-Mediated Interaction Models”, MSc.
External Examiner
- Dr. Sam Devlin, “Potential-Based Reward Shaping for Knowledge-Based, Multi-Agent Reinforcement Learning”, PhD Supervisor: Dr. Daniel Kudenko , Department of Computer Science, University of York, 23rd October 2013.
- Dr. Andrada Voinitchi, “Disrupting Agents’ Plans”, PhD Supervisor: Dr. Liz Black and Professor Mike Luck , Department of Informatics, Kings College London, 28th January 2016.
- Dr. Tim Brys, “Reinforcement Learning with Heuristic Information”, PhD Supervisor: Professor Ann Nowe and Professor Matthew E. Taylor , Department of Computer Science, Vrije Universiteit Brussel, Belgium, 14th November 2016.
- Dr. Abdullah F. Algarni, “File Distribution Optimisation for Multiple Cloud Storage Services Using Machine Learning”, PhD Supervisor: Dr. Daniel Kudenko , Department of Computer Science, University of York, 17th May 2017.
Editor
- Adaptive Learning Agents, Special Issue of Connection Science, Volume 1, Taylor and Francis Press, (2014)
- Adaptive Learning Agents, Special Issue of Connection Science, Volume 2, Taylor and Francis Press, (2014)
- Adaptive Learning Agents, Special Issue of the Knowledge Engineering Review, Cambridge Press, (2016)
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