Ramaswamy Palaniappan

Ramaswamy Palaniappan received his first degree and M.Eng.S degree in electrical engineering and his Ph.D. degree in microelectronics, biomedical engineering in 1997, 1999, and 2002, respectively. He is currently a lecturer with the Department of Computer Science, University of Essex, UK, where he is a Member in the Brain-Computer Interface group. Prior to this, he was the Associate Dean and Senior Lecturer at Multimedia University, Malaysia, and Research Fellow in the Biomedical Engineering Research Centre, University of Washington Alliance, Nanyang Technological University, Singapore. He has been a Consultant to the Industry Grant Scheme managed by Ministry of Science, Technology and Environment, Malaysia, and helped to set up the Biomedical Engineering Department in University of Malaya, Malaysia. His current research interests include biological signal processing, brain-computer interfaces, artificial neural networks, genetic algorithms, biometrics, and image processing. To date, he has published over 90 papers in journals and conference proceedings. Dr. Palaniappan is a Member of the Institute of Electrical and Electronics Engineers, IEEE Engineering in Medicine and Biology Society, Institution of Engineering and Technology, and Biomedical Engineering Society.

Biography Updated on 6 May 2007

Personal Home Page

http://www.essex.ac.uk/dces/people/profile.aspx?id=147

Articles in Scholarly Journals [Incomplete List]

  1. EEG Based Biometric Framework for Automatic Identity Verification
    The Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology, vol. 49, no. 2, pp. 243–250, 2007
  2. Neural network classification of homomorphic segmented heart sounds
    Applied Soft Computing, vol. 7, no. 1, pp. 286–297, 2007
  3. Biometrics from Brain Electrical Activity: A Machine Learning Approach
    IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 29, no. 4, pp. 738–742, 2007
  4. Utilizing Gamma Band to Improve Mental Task Based Brain-Computer Interface Design
    IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 14, no. 3, pp. 299–303, 2006
  5. Improving visual evoked potential feature classification for person recognition using PCA and normalization
    Pattern Recognition Letters, vol. 27, no. 7, pp. 726–733, 2006
  6. Neural network classification of late gamma band electroencephalogram features
    Soft Computing, vol. 10, no. 2, pp. 163–169, 2005
  7. New hybrid genetic operators for real coded genetic algorithm to compute optimal control of a class of hybrid systems
    Applied Soft Computing, vol. 6, no. 1, pp. 38–52, 2005
  8. Method of identifying individuals using VEP signals and neural network
    IEE Proceedings - Science, Measurement and Technology, vol. 151, no. 1, p. 16, 2004
  9. Neural network classification of autoregressive features from electroencephalogram signals for brain–computer interface design
    Journal of Neural Engineering, vol. 1, no. 3, pp. 142–150, 2004
  10. Individual identification technique using visual evoked potential signals
    Electronics Letters, vol. 38, no. 25, p. 1634, 2002
  11. A new brain-computer interface design using fuzzy ARTMAP
    IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 10, no. 3, pp. 140–148, 2002
  12. VEP optimal channel selection using genetic algorithm for neural network classification of alcoholics
    IEEE Transactions on Neural Networks, vol. 13, no. 2, pp. 486–491, 2002
  13. Using genetic algorithm to identify the discriminatory subset of multi-channel spectral bands for visual response
    Applied Soft Computing, vol. 2, no. 1, pp. 48–60, 2002
  14. Recursive digital filter for fast visual evoked potential estimation and classification
    Electronics Letters, vol. 37, no. 15, p. 990, 2001
  15. Fuzzy ARTMAP classification of invariant features derived using angle of rotation from a neural network
    Information Sciences, vol. 130, no. 1-4, pp. 67–84, 2000
  16. New Invariant Moments for Non-Uniformly Scaled Images
    Pattern Analysis & Applications, vol. 3, no. 2, pp. 78–87, 2000
  17. International Journal of Pattern Recognition and Artificial Intelligence, vol. 13, no. 8, p. 1233, 1999