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Dr Conor Fahy

Job: Lecturer in Games and AI

Faculty: Computing, Engineering and Media

School/department: School of Computer Science and Informatics

Address: De Montfort University, The Gateway, Leicester, LE1 9BH

T: +44 (0) 116 366 4275

E: conor.fahy@dmu.ac.uk

 

Personal profile

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.

Research group affiliations

Institute of Artificial Intelligence (IAI)

Publications and outputs

  • 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.

Research interests/expertise

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

Areas of teaching

C++ Programming, Shader Programming

Qualifications

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

Courses taught

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

ORCID number

0000-0002-9549-284X