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Contact details

Dr. Palaniappan Ramaswamy 
BE MSc PhD SMIEEE MIET MBMES
Reader, School of Computing
University of Kent
Chatham Maritime, Kent, ME4 4AG, UK

E: palani AT iee. org; r.palani AT kent.ac.uk 

 

Citation count (from Google scholar):

Profile

Palaniappan Ramaswamy's

Welcome to my site where you will find information about my research and teaching.

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I am currently a Reader with School of Computing, University of Kent. I was recently with School of Engineering, University of Wolverhampton. Prior to this, I was with School of Computer Science and Electronic Engineering, University of Essex.

        My research area is on biological signal processing, mainly signals from the brain and heart. I study these signals (such as EEG, PCG and ECG) for several applications: brain-computer interface, biometrics, electrophysiological analysis, cardiovascular disease diagnosis and stress management. I utilise tools like advanced signal processing and machine learning (such as neural networks and genetic algorithms) in my work. Further, I also process signals for various engineering and computer science applications.

        Do contact me if you are interested in any aspect of my work, for example if you would like to do a PhD or would like to collaborate with me.

Information for prospective PhD students

I would be interested in supervising PhD research projects in any of the above research areas. Please contact me for more information. General information about postgraduate studies in our school can be found here. Details of the next round of funding from our school arhere and here.

Demo videos:

  • Music generation with brain-computer interface (BCI) video
  • Cursor control with SSVEP BCI video
  • Virtual phonepad using eye movements and blinks video1 video2
  • Password generation using thoughts video

BBC Radio Essex interview drivetime by Ian Puckey, audio

LinkedIn 'Emerging Biometrics' Group - join this group (http://www.linkedin.com/groups/Emerging-Biometrics-4642624)

 

Biological Signal

Analysis

                      

Digital Systems

 

Web page last updated: 13 June 2016