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The Staff

Dr. M. P. B. Ekanayake

Lecturer

 
Office Address: 

Department of Electrical & Electronic Engineering.
University of Peradeniya.
Sri lanka.

 Email: 
mpb.ekanayake@ee.pdn.ac.lk
Telephone: 
+94-81-2393416
Personal Website: 
 

Biography :

  • Dr. M. P. B. Ekanayake received B.Sc. in Electrical and Electronic Engineering with First Class Honours from University of Peradeniya, Sri Lanka in 2006. He obtained the degree of Doctor of Philosophy from the Texas Tech University, USA in August 2011. His dissertation topic was Decoding the Speed and Motion Direction of Moving Targets using a Turtle Retinal Patch Model.
  • He was previously at the Department of Electrical and Electronics Engineering, Faculty of Engineering, University of Peradeniya, Sri Lanka, first as a temporary instructor and then as a temporary lecturer, from January 2006 to December 2006. Throughout the postgraduate studies, from January 2007 to August 2011, he was with the Center for Bio-Cybernetics and Intelligent Systems, Department of Mathematics and Statistics, Texas Tech University, Lubbock, TX, USA.
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Educational Qualifications :

  • Phd : Texas Tech University, Lubbock, TX, USA (August 2011)
  • Bsc: University of Peradeniya, Sri Lanka (January 2006)
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Awards :

  • Ceylon Electricity Board gold medal for the best performance in Electrical and Electronics Engineering (UOP 2007)
  • C. A. Hewavitharana Prize for the best performance in Engineering (UOP 2007)
  • Ceylon Electricity Board Prize for best performance in Electrical and Electronic Engineering (UOP 2007)
  • W. M. G. Fernando Prize for Electronic Communications (UOP 2007)
  • W. P. Jayasekara Prize for the best student project in Electrical and Electronic Engineering (UOP 2007)
  • Herman Reynolds Scholar for the academic year 2008-2009 (TTU)
  • Ronald M. Anderson Scholar for the academic year 2009-2010 (TTU)

Research Intersests :

  • Modeling and analysis of complex biological systems
  • Biomedical signal processing - in particular related to neurons and neural system
  • Stocastic systems - dynamics and filtering
  • Mobile robotics
  • Control systems theory
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