Dr. Chatura Seneviratne

Senior Lecturer
PhD (Calgary, Canada), MEng. (AIT, Thailand), BScEng (Hons) (Ruhuna)

Contact info

+94912245765-6 (3221)
Room 3305


Dr Chatura Seneviratne is a Senior Lecturer attached to the Department of Electrical and Information Engineering,University Ruhuna, Sri Lanka since March, 2018. He received his B.Sc. Eng. degree in Electrical and Information Engineering from the University of Ruhuna and the M.Eng. degree in Information and Communications Technologies from the Asian Institute of Technology, Thailand. He completed his Ph.D. degree in Electrical and Computer Engineering in the University of Calgary, Canada.He subsequently completed a Postdoctoral Fellowship in the University of Calgary and worked on a chaos-based covert signaling project funded by the Office of Naval Research (ONR), USA.

Dr Chatura has gained industrial experience as a software engineer in IFS R&D International Limited and a telecommunication engineer in ZTE Lanka Telecommunication (Private) Limited. He also has worked as a Research Scientist in Complex System Inc., Calgary, Canada. Dr Chatura has served on numerous international conference and workshop organizing committees.

Research Interests and Collaborations

Research Interests


  • EE 3205: Signals and Systems
  • EE 4301 : Communication Systems 1



Peer Reviewed Journals

Indexed Peer Reviewed Full Length Conference Papers

  • Chatura Seneviratne I.B.Hewanayake, A. K. U. Ranasinghe, A.M.A.L. Gunaratne, W.N.B.A. Geeth Priyankara (2019) An Intelligent Traffic Sign Recognition System for Sri Lankan Drivers. IET 26th Annual Technical Conference, Colombo, Sri Lanka. (2nd Best Paper Award)


Talks and Presentations

Contributions and Awards

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  • EO/IR based Maritime Surveillance System for Sri Lanka. (Funding Source: TRCSL (Rs.500000))- ongoing.
  • Fast Uplink Grants – An adaptation of artificial intelligence system for machine type communications. (Funding Source: TRCSL (Rs.500000)) – ongoing
  • AI Enabled Radio Sensors for Body Borne Object Detection and Classification (Funding Source: AHEAD funds through TTO, University of Ruhuna. (Rs.1075000))-ongoing.