Charles - CompSc

<%@LANGUAGE="JAVASCRIPT" CODEPAGE="65001"%> Charles - CompSc

Eugene Yougarajah Andrew Charles

Senior Lecturer in the Department of Computer Science, University of Jaffna, Sri Lanka.


Home page	http://www.csc.jfn.ac.lk/charles
Email	charles.ey@jfn.ac.lk
Telephone	+94 21 222 3428

Admin Roles
Departmental:	Head of the Department
Science Faculty:	Member of Faculty Board & Member of the Senate

Research
Interest:	Data Mining, Machine Learning, Neural Networks, and Spiking Neural Networks
Publications Sivaranjini. G and Charles. E. Y. A : “A Database Management System for Public Information of Point-Pedro Divisional Secretariat”, 17th Annual Session, Jaffna Science Association, Jaffna, 2010. Pham, D.T., Packianather, M.S., and Charles, E.Y.A., Martina R., Teti T., D'Addona D., Iodice G., Spiking Neural Network Learning Model for Decision Support in Orthodontic Extraction, CIRP ICME 2008. Pham, D.T., Packianather, M.S., and Charles, E.Y.A.: “Self-organising spiking neural networks trained by weight and delay-adaptation methods for control chart pattern recognition”, Proceedings of the 3rd International Conference (virtual) on Intelligent Production Machines and Systems (IPROMS), 3-14 July 2007. Pham, D.T., Packianather, M.S., and Charles, E.Y.A.: “Spiking neural network for control chart pattern recognition”, Proceedings of the European Control Conference, Kos, Greece, pp 1392-1397, 2-5 July 2007. Pham, D.T., Packianather, M.S., and Charles, E.Y.A.: “A self-organising spiking neural network trained using delay adaptation”, Proceedings of the IEEE International Symposium on Industrial Electronics, Vigo – Spain, pp. 3441-3446, 4-7 June 2007. Charles, E.Y.A.: "Supervised and Unsupervised Weight and Delay Adaptation Learning in Temporal Coding Spiking Neural Networks", PhD thesis, May 2007. Pham, D.T., Packianather, M.S., and Charles, E.Y.A.: “A Novel Self-Organised Learning Model with Temporal Coding for Spiking Neural Networks”, Proceedings of the 2nd International Conference (virtual) on Intelligent Production Machines and Systems (IPROMS), pp. 307-312, 3-14 July 2006.

© 2007-2008 The Department of Computer Science @ UOJ