Professor Dr. Raveendran A/L Paramesran

Professor Dr. Raveendran A/L Paramesran

Research Impact:

Google Scholar

Professor Dr. Raveendran A/L Paramesran


Academic Qualifications

Doctor of Engineering
MSc. in Electrical Engineering
BSc. In Electrical Engineering


I obtained both my bachelor and master degrees in electrical engineering from South Dakota State University, U.S.A in 1984 and 1985 respectively. I then worked briefly as a System Designer at Daktronics, South Dakota, before joining the Department of Electrical Engineering, University of Malaya (UM) in 1986. In 1994, I obtained Doctor of Engineering in the combined areas of image processing and neural network from University of Tokushima, Japan. I became Professor in 2003 and achieved the highest grade for Professor in 2014. I retired in 2018 and was appointed as an Honorary Professor till 2019.

In the 33 years of my academic life at University of Malaya, my research and teaching interests have been in the areas of Image and Video Analysis, Analysis and Applications of EEG signals, Speech processing, Soft Computing and Learning Systems. I have published in top-tier journals, presented at highly ranked conferences, and collaborated with international scientists to advance research ideas. In image analysis, my pioneering works using Krawtchouk and Hahn moments as pattern features and the development of invariant properties for Orthogonal moments have been highly cited by Google Scholar. A novel method using Morse codes from extracted EEG signals as a means for communication has been highly cited. My successful collaborative research with an international company produced a patent in Singapore for developing a novel based technique to predict blood glucose levels using the data from a noninvasive method. While at University of Malaya, I have supervised 21 PhD students and the placement of seven them in academic positions in University of North Carolina, U.S.A and University of Kent, England, and as researchers in USA, Ireland, Canada, Czechoslovakia, and Singapore attests to the quality of our work together. In 2007, I was named the most prolific publisher for a 5-year period from 2002-2007. Together with a colleague, an undergraduate Biomedical Engineering Program was developed in 1997 and introduced five new undergraduate elective courses and co-authored/authored two undergraduate textbooks published by Springer-Verlag in 1997 and Pearson in 2002. I am a senior member of Institute of Electrical and Electronics Engineering and a board member of Intelligent Signal Processing and Communication Systems.


  1. Siaw-Lang Wong, Raveendran Paramesran, Ibuki Yoshida & Akira Taguchi. (2019). Integrated Method to Remove Color Cast and Contrast Enhancement for Underwater Image. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Science.  E102.A(11), 1524-1532.
  2. Tarmizi Adam & Raveendran Paramesran. (2019). Hybrid Non-Convex Second Order Total Variation with Applications to Non-Blind Image Deblurring. Signal, Image and Video Processing, 1-9.
  3. Ganesh Krishnasamy & Raveendran Paramesran (2019), Multiview Laplacian semisupervised feature selection by leveraging shared knowledge among multiple tasks. Signal Processing: Image Communication, 70, 68-78.
  4. Fikree Hassan, Raveendran Paramesran, Yoshiki Tanaka & Kiyoshi Tanaka. (2018). A method using uniform yellowing pigmentation to model the color perception of the elderly people. Signal, Image And Video Processing, 1-8.
  5. Siong-Shi Ling, Yong-Poh Yu & Raveendran Paramesran. (2017). Video Based Heart Rate Estimation Using Facial Images from Video Sequences, Advances in Optics: Reviews' Book Series, Vol.1. Barcelona, Spain: IFSA Publishing, S.L