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Contact

madhawa.h@sliit.lk, +94 (0) 722 866 866

madhawa.h@sliit.lk

Dr. Madhawa Herath

Senior Lecturer (Higher Grade)

Faculty of Engineering | Mechanical Engineering

Career Summary

  • Dean / Academic - (1st  April 2024 – Present) - SLIIT Kandy Uni 
  • Senior Lecturer (5th January 2012 – Present) - Sri Lanka Institute of Information Technology
  • Principal Consultant (5th November 2000 – Present) – Global Eye International (Private) Limited
  • Project Director (Consultant) (5th May 2012 – 4th May 2014) – Spence Engineering and Constructions (Private) Limited.
  • Head of Corporate Solutions (3rd Nov 2011 – 30th April 2012), Etisalat Lanka (Pvt.) Ltd.
  • Head of Program / Project /PMO Management (1st August 2008 – 31st October 2011), Etisalat Lanka (Pvt.) Ltd.

ACADEMIC QUALIFICATIONS

  • Ph.D. in the Field of Artificial Intelligence for Energy Optimization – Sri Lanka Institute of Information Technology, 2018-2024
  • Master of Business Administration, Postgraduate Institute of Management, University of Sri Jayewardenepura, 2009-2011.
  • B.Sc. (Engineering) Electronics and Telecommunication Engineering (1st Class), University of Moratuwa, 2001-2005.
  • Project Management Professional (PMP®), Project Management Institute, United States of America, 2011 Up-to-date
  • Engineering Charter in the field of Electronics and Telecommunications, Institute of Engineers, Sri Lanka, 2012
  • Lean Six Sigma Green Belt – Caterpillar, 2021

HONOURS AND AWARDS

4th International Conference on Advancements in Computing 2022 (ICAC - 2022) - Best Paper

Research Interests and Memberships

Research Interests

  • Energy Optimization
  • Deep Learning
  • Reinforcement Learning
  • Disaggregation Techniques
  • Project Management

Memberships

  • The Institute of Electrical and Electronics Engineers (IEEE), 2005 – 2017,
    • Membership No : 80464700
  • The Institution of Engineering and Technology (IET), 2005 – 2017,
    • Membership No : 9710408
  • The Institution of Engineers, Sri Lanka (IESL), 2006 – 2017,
    • Membership No : M 6143
  • Project Management Institute (PMI), 2011-2017,
    • Membership No : 1837199

Ongoing Research

Use of Artificial Intelligence for Domestic Energy Optimization (Energy Disaggregation / Non-Intrusive Load Monitoring)

Reinforcement Learning Based Advisory System for Optimum Energy/Cost used in Time of the Day Tariff Environment

Wetland Water Level Prediction using Artificial Intelligence Tools

My Publications

Journal Publications

Conference Proceedings

  • G. M. Herath, T. D. Thilakanayake, M. H. Liyanage and C. J. Angammana   Appliance Anomaly Detection as an Extension of Non-Intrusive Load Monitoring  in 2023 IEEE PES Asia-Pacific Power and Energy Engineering Conference,  year 2023,  Chiang Mai, Thailand,    IEEE,    December 2023,  
  • N.W. Herath, G. M. Herath, T. D. Thilakanayake, M. H. Liyanage and C. J. Angammana   An Image-Based Disaggregation Study of Time Series Energy Data Using Gramian Angular Field  in 2023 IEEE PES Asia-Pacific Power and Energy Engineering Conference,  year 2023,  Chiang Mai, Thailand,    IEEE,    December 2023,  
  • G. M. Herath, M. H. Liyanage and C. J. Angammana   Assessment of Non-Intrusive Load Monitoring as a Blind Source Separation Problem  in 2023 IEEE PES GTD International Conference and Exposition (GTD),  year 2023,  Istanbul, Turkiye,    IEEE,    May 2023,  
  • P. M. L. Liyanage, G. M. Herath, T. D. Thilakanayake and M. H. Liyanage   Novel Image Based Method Using V-I Curves with Aggregate Energy Data for Non-Intrusive Load Monitoring Applications  in 2022 4th International Conference on Advancements in Computing (ICAC),  year 2022,  Colombo,  pp.258-263,  IEEE,      
  • M. Senarathna, M. Herath, T. D. Thilakanayake, M. H. Liyanage and C. J. Angammana   An Image Based Approach of Energy Signal Disaggregation Using Artificial Intelligence  in 2021 IEEE 16th International Conference on Industrial and Information Systems (ICIIS),  year 2021,  Kandy, Sri Lanka,  pp.98-103,  IEEE,      
  • D. V. J. Dhanawansa, G.M. Herath, T. D. Thilakanayake, M.H. Liyanage, C.J. Angammana   An investigation of the effects of kernel tuning on the performance of convolution neural network architectures: a case study of non -intrusive load monitoring applications  in The 2nd International Conference on Energy and AI,  year 2021,  London, UK,  pp.33-38,        
  • G. M. Herath, T. D. Thilakanayake, M. H. Liyanage, and C. J. Angammana   Comprehensive analysis of convolutional neural network models for non-intrusive load monitoring  in 2020 IEEE International Conference and Utility Exhibition on Energy, Environment and Climate Change (ICUE),  year 2020,  Pattaya, Thailand,  pp.1-11,  IEEE,    October, 2020,  

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