معرفی
Conor Fahy is a Lecturer in Games and AI at De Montfort University, affiliated with the School of Computer Science and Informatics within the Faculty of Computing, Engineering and Media. He is actively involved in teaching and research, focusing on the intersection of artificial intelligence and computer games.
Research interests include machine learning in dynamic environments, particularly unsupervised and semi-supervised learning for data streams. His work emphasizes swarm intelligence, ensemble methods, and clustering algorithms that adapt to non-stationary data. He is a member of the Institute of Artificial Intelligence (IAI) at DMU.
The recent publications highlight a consistent focus on clustering in evolving data streams, label efficiency in dynamic settings, and bio-inspired algorithms. Key trends include adaptive feature selection, multi-density cluster tracking, and low-rank multiview representations, all addressing challenges in real-time, high-dimensional machine learning.
Scientific awards:
- No awards listed in the provided text.
Advising and grants: While no formal students or grant funding are mentioned, Conor Fahy's role as Deputy Programme Leader for the BSc in Computer Games Programming indicates leadership in academic program development and student mentorship. His research outputs suggest active collaboration, particularly with Dr. Shengxiang Yang and Dr. Mario Gongora.
Labs and teams: Conor Fahy is affiliated with the Institute of Artificial Intelligence (IAI) at De Montfort University, where his research contributes to advanced AI methodologies in dynamic and game-related contexts.
