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Contact

076 728 3840/071 728 3840

Pradeep.a@sliit.lk

Prof. Pradeep Abeygunawardhana

Dean - International

Faculty of Computing | Computer Systems Engineering

Career Summary

Dr. Pradeep Abeygunawardhana is currently working as a Senior lecturer (Higher grade). He obtained his Phd in March 2010 from robotic Engineering from Keio University, Japan. He obtained his Master in September 2006 from the same university. He is a graduate of University of Moratuwa from Electrical Engineering. 

During his PhD studies, he work as a researcher under Global Center of Excellence (GCOE) at Keio University and the 21st Century Center of Excellence program. During 2012- 2016, he worked as a Post-Doctoral researcher at Kagawa University under the theme of life science product development for Kagawa Prefecture. He has the two year experience as an Electrical Engineer at Associated Motorways Ltd and Jinasena Motors Ltd. 

He held the position of SLIIT research center in 2011 and currently holding the position of Head/ Computer Systems Engineering at Faculty of Computing SLIIT. He has more than 10 journal publications and more than 50 conference publications. 

ACADEMIC QUALIFICATIONS

  • PhD (Keio), Japan,
  • Msc (Keio), Japan
  • Bsc (University of Moratuwa), Sri Lanka

HONOURS AND AWARDS

  • Recieved Japanese Governmnet scholarship (Monbukagakusho) for year 2004-2009.
  • Keio Leading Lab Research Grant for year 2007, 2008, 2009.
  • Bronze award of NBQSA, Sri Lanka in 2017

Research Interests and Memberships

Research Interests

  • Cloud robotics,
  • Artificial Intelligence, 
  • Network robotics,

Memberships

  • Member of IEEE
  • Member of CSSL
  • Member IET
  • Associate Member, IESL

Ongoing Research

  • Robert as an intelligent Agent
    • The robot as a service is widely used one whereas a robot as a learner is an emerging concept. Though there are many learning robots  have been presented throughout our research history. However, as a concept, it has not been formalized. Out robotic framework will equip intelligent algorithms using machine learning which provides robots to learn and adapt to situations.  Expanding the horizon of cloud robotics, we are going to develop intelligent capabilities to our system using machine learning. By merging, Robot as a service, Robot as a learner, and intelligence of robot, this paper develop a new concept of Robot as an Intelligent Agent.
  • HexaGrow- Smart agricultural robotic systems for greenhouses.

My Publications

Journal Publications

Conference Proceedings

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