Global

Engineering Experts

Raveendran Paramesran

PROFESSOR
DEPARTMENT OF ELECTRICAL ENGINEERING
University of Malaya
Malaysia

Biography

P. Raveendran received the B.Sc and M.Sc degrees in electrical engineering from South Dakota State University, Brookings, South Dakota, USA in 1984 and 1985 respectively. He was a systems designer with Daktronics, U.S.A before joining the Department of Electrical Engineering at University of Malaya, Kuala Lumpur, as a lecturer in 1986. In 1992, he received a Ronpaku scholarship from Japan to pursue Doctorate in Engineering, which he completed in 1994 at University of Tokushima, Japan. He was promoted to Associate Professor in 1995 and was promoted to Professor in 2003. His research areas include image and video analysis, formulation of new image descriptors for image analysis, fast computation of orthogonal moments, analysis of EEG signals, and data modeling of substance concentration acquired from non-invasive methods. His contributions can be seen in the form of journal publications, conference proceedings, chapters in books and an international patent to predict blood glucose levels using non-parametric model. He has successfully supervised to completion 17 Ph.D students and 13 students in M.Eng.Sc (Masters by research). He is currently a Senior IEEE member and also a member of the Signal Processing Society.

Research Interest

Speech Recognition (Speech Recognition and Verification) Innovative Technology (Prediction of Blood Glucose and Substance Concentration using Noninvasive Method, Near InfraRed, Neural network, Partial Least Squares.) Diagnostic Tools (Brain-Computer Interface, Visual Short-term Memory and Physical Fatigue, Montages) Image Processing and Computer Vision (Image Analysis, Fast Computation of Moments, Image Representation)

Publications

  • P. Raveendran, Microprocessors: MC6800 Fundamentals & MC6809 System Design, Prentice Hall, 2002.

  • R.Palaniappan, P.Raveendran and Sigeru Omatu, ¿VEP Optimal Channel Selection Using Genetic Algorithm for Neural Network Classification of Alcoholics,¿ IEEE Transactions on Neural Network, vol.13, issue 2, pp.486-491, March 2002.

  • C.W.Chong, P.Raveendran & R.Mukundan, An Efficient Algorithm for Fast Computation of Pseudo-Zernike Moments, International Journal of Pattern Recognition and Artificial Intelligence, 17(6), pp.1011-1023, 2003

Global Experts from Malaysia

Global Experts in Subject

Share This Profile
Recent Expert Updates
  • Matthew L Stone
    Matthew L Stone
    pediatrics
    University of Virginia Health System; Charlottesville, VA
    United States of America
  • Dr.   Matthew
    Dr. Matthew
    pediatrics
    University of Virginia Health System; Charlottesville, VA
    United States of America
  • Dr.  L Stone Matthew
    Dr. L Stone Matthew
    pediatrics
    University of Virginia Health System; Charlottesville, VA
    United States of America
  • Dr.  L Stone
    Dr. L Stone
    pediatrics
    University of Virginia Health System; Charlottesville, VA
    United States of America
  • Dr. Matthew L Stone
    Dr. Matthew L Stone
    pediatrics
    University of Virginia Health System; Charlottesville, VA
    United States of America
  • Dr.  R Sameh
    Dr. R Sameh
    pediatrics
    King Abdul Aziz University
    United Arab Emirates
  • Dr.   R Ismail,
    Dr. R Ismail,
    pediatrics
    King Abdul Aziz University
    United Arab Emirates
  • Sameh R Ismail,
    Sameh R Ismail,
    pediatrics
    King Abdul Aziz University
    United Arab Emirates
  • Dr.   Sameh R Ismail,
    Dr. Sameh R Ismail,
    pediatrics
    King Abdul Aziz University
    United Arab Emirates
  • Dr.   William
    Dr. William
    pediatrics
    Maimonides Medical Center
    United States of America