Email: C.Huyck @ mdx.ac.uk
Office: T127 Town Hall Building, Hendon Campus
Personal Website
About
- Professor
Research Interests
- Artificial Intelligence
- Computational Neuroscience
- Natural Language Processing
Publications Repository
TravQuery: a customer support chatbot based on Retrieval Augmented Generation (RAG)
Farnaz, A. and Huyck, C. 2025. TravQuery: a customer support chatbot based on Retrieval Augmented Generation (RAG). Bramer, M. and Stahl, F. (ed.) 45th SGAI International Conference on Artificial Intelligence. Cambridge, UK 16 - 18 Dec 2025 Springer. pp. 130-140 https://doi.org/10.1007/978-3-032-11402-0_10
Navigating the N-Person Prisoner's Dilemma: from the tragic valley to the collaborative hill
Tcaci, C. and Huyck, C. 2025. Navigating the N-Person Prisoner's Dilemma: from the tragic valley to the collaborative hill. Bramer, M. and Stahl, F (ed.) 45th SGAI International Conference on Artificial Intelligence. Cambridge, UK 16 - 18 Dec 2025 Springer. pp. 259-269 https://doi.org/10.1007/978-3-032-11402-0_19
It is simple to program with spiking neurons
Huyck, C. and Obisesan, F. 2025. It is simple to program with spiking neurons. Electronics. 14 (22). https://doi.org/10.3390/electronics14224397
Parameter tuning of the firefly algorithm by three tuning methods: Standard Monte Carlo, quasi-Monte Carlo and latin hypercube sampling methods
Joy, G., Huyck, C. and Yang, X. 2025. Parameter tuning of the firefly algorithm by three tuning methods: Standard Monte Carlo, quasi-Monte Carlo and latin hypercube sampling methods. Journal of Computational Science. https://doi.org/10.1016/j.jocs.2025.102588
Quasi Biologically Plausible Category Learning
Huyck, C. 2024. Quasi Biologically Plausible Category Learning. Bramer, M. and Stahl, F. (ed.) 44th SGAI International Conference on Artificial Intelligence, AI 2024. Cambridge, UK 17 - 19 Dec 2024 Springer. pp. 33-46 https://doi.org/10.1007/978-3-031-77915-2_3
Parameter tuning of the Firefly Algorithm by standard Monte Carlo and Quasi-Monte Carlo methods
Joy, G., Huyck, C. and Yang, X. 2024. Parameter tuning of the Firefly Algorithm by standard Monte Carlo and Quasi-Monte Carlo methods. Franco, L., de Mulatier, C., Paszynski, M., Krzhizhanovskaya, V., Dongarra, J. and Sloot, P. (ed.) 24th International Conference on Computational Science. Malaga, Spain 02 - 04 Jul 2024 Cham Springer. pp. 242–253 https://doi.org/10.1007/978-3-031-63775-9_17
Enhancing individual UAV path planning with Parallel Multi-Swarm Treatment Coronavirus Herd Immunity Optimizer (PMST-CHIO) algorithm
Fouad, A., Abboudi, A., Huyck, C., Gao, X., Bououden, S., Khezami, N. and Shall, H. 2024. Enhancing individual UAV path planning with Parallel Multi-Swarm Treatment Coronavirus Herd Immunity Optimizer (PMST-CHIO) algorithm. IEEE Access. 12, pp. 28395-28416. https://doi.org/10.1109/ACCESS.2024.3367753
Associative memory with biologically-inspired cell assemblies
Ji, Y., Gamez, D. and Huyck, C. 2024. Associative memory with biologically-inspired cell assemblies. Samsonovich, A.V. and Liu, T. (ed.) 2023 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, the 14th Annual Meeting of the BICA Society (BICA*AI 2023). Ningbo, China 13 - 15 Oct 2023 Springer. pp. 422-428 https://doi.org/10.1007/978-3-031-50381-8_43
A proposal for extending the Common Model of Cognition to emotion
Rosenbloom, P., Laird, J., Lebiere, C., Stocco, A., Granger, R. and Huyck, C. 2024. A proposal for extending the Common Model of Cognition to emotion. 22nd International Conference on Cognitive Modeling. Tilburg University, the Netherlands 19 - 22 Jul 2024 Society for Mathematical Psychology.
Bridging neuroscience and robotics: spiking neural networks in action
Jones, A., Gandhi, V., Mahiddine, A. and Huyck, C. 2023. Bridging neuroscience and robotics: spiking neural networks in action. Sensors. 23 (21), pp. 1-14. https://doi.org/10.3390/s23218880