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I teach and am Deputy Programme Leader on the Computer Games Programming BSc. My research is in machine learning and I'm very interested in this intersection between games and AI. My current research interests include swarm intelligence and ensemble methods for unsupervised and semi-supervised learning in dynamic environments.

Institute of Artificial Intelligence (IAI)

• Fahy, C., Yang, S. and Gongora, M., 2021. Scarcity of labels in non-stationary data streams: A survey. ACM Press
• Chen, J., Yang, S., Mao, H. and Fahy, C., 2021. Multiview subspace clustering using low-rank representation. IEEE Transactions on Cybernetics.
• Fahy, C. and Yang, S., 2019. Finding and tracking multi-density clusters in online dynamic data streams. IEEE Transactions on Big Data.
• Fahy, C. and Yang, S., 2019. Dynamic feature selection for clustering high dimensional data streams. IEEE Access, 7, pp.127128-127140.
• Fahy, C., Yang, S. and Gongora, M., 2018. Ant colony stream clustering: A fast density clustering algorithm for dynamic data streams. IEEE transactions on cybernetics, 49(6), pp.2215-2228.

Data Streams, Machine Learning, Unsupervised Learning, AI in Games

C++ Programming, Shader Programming

• PhD, De Montford University, 2019
• MSc, Intelligent Systems & Robotics, De Montford University, 2016
• BSc, Software Engineering, Dublin City University, 2004

Object Orientated Programming in C++, Shader Programming, Advanced Shader Programming

0000-0002-9549-284X