Engineering applications of intelligent systems. Research focuses on Artificial Neural Networks (ANNs), Genetic Algorithms (GAs), Fuzzy Logic (FL), and Neuro-Fuzzy Systems (NFS). Applications areas include sensors, computer networks, as well a number of manufacturing and medical techniques.
Intelligent Systems have been applied to many problems in Communications and Signal Processing such as:
- [Paper] H. Kusetoğullari, M. H. Sharif, M.S. Leeson and T. Celik, “A Reduced-Uncertainty Hybrid Evolutionary Algorithm for Solving Dynamic Shortest-Path Routing Problem”, Journal of Circuits, Systems and Computers, vol. 24, no. 5, article 1550067 [42 pages], 2015.
- [Paper] L. P. Karunarathne, M. S. Leeson and E. L. Hines, “Evolutionary Minimization of Network Coding Resources”, Applied Artificial Intelligence, vol. 28, no. 9, pp. 837-858, 2014.
- [Paper] H. Kusetoğullari, M.S. Leeson, B. Kole and E. L. Hines, “Meta-heuristic Algorithms for Optimized Network Flow Wavelet-based Image Coding”, Applied Soft Computing, vol. 14, part C, pp. 536-553, 2014.
- [Paper] J. Yang, H. Singh, E. L. Hines, F. Schlaghecken, D. D. Iliescu, M. S. Leeson and N. G. Stocks, “Channel Selection and Classification of EEG Signals: A Neural Network and Genetic Algorithm-based approach”, Artificial Intelligence in Medicine, vol. 55, no.2, pp.117-126, 2012.
Historically, these activities were led by Professor Evor Hines but he has recently retired so enquiries concerning this still active area of research should be made to Dr Mark Leeson.