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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
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Lean Six Sigma Green Belt – Caterpillar, 2021
RESEARCH INTERESTS AND MEMBERSHIP
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
Research Clusters
Robotics and Autonomous Systems
Advancing autonomous systems and robotic technologies for industrial, healthcare, and exploratory applications through AI-driven innovation.
Energy and Sustainability
Interdisciplinary research on sustainable energy solutions, policy frameworks, and green technologies to combat climate change.
Advanced AI Applications in Engineering
"The ""Advanced AI Applications in Engineering"" research group focuses on integrating cutting-edge artificial intelligence techniques across various engineering fields, including electrical and electronics, telecommunications, civil, mechanical, mechatronics, and biomedical engineering. The group aims to address complex real-world challenges by applying AI to optimize system performance, enhance energy efficiency, and improve automation.
Key areas of research include AI-driven system design, signal processing, smart infrastructure, autonomous systems, biomedical diagnostics, and intelligent manufacturing. Through interdisciplinary collaboration, the group seeks to advance AI-driven innovations that contribute to smarter, more resilient, and efficient engineering solutions."
PUBLICATIONS
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Comprehensive analysis of convolutional neural network models for non-intrusive load monitoring
G. M. Herath, T. D. Thilakanayake, M. H. Liyanage, and C. J. Angammana, (2020 IEEE International Conference and Utility Exhibition on Energy, Environment and Climate Change (ICUE))
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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
D. V. J. Dhanawansa, G.M. Herath, T. D. Thilakanayake, M.H. Liyanage, C.J. Angammana, (The 2nd International Conference on Energy and AI)
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An Image Based Approach of Energy Signal Disaggregation Using Artificial Intelligence
M. Senarathna, M. Herath, T. D. Thilakanayake, M. H. Liyanage and C. J. Angammana, (2021 IEEE 16th International Conference on Industrial and Information Systems (ICIIS))
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Novel Image Based Method Using V-I Curves with Aggregate Energy Data for Non-Intrusive Load Monitoring Applications
P. M. L. Liyanage, G. M. Herath, T. D. Thilakanayake and M. H. Liyanage, (2022 4th International Conference on Advancements in Computing (ICAC))
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Assessment of Non-Intrusive Load Monitoring as a Blind Source Separation Problem
G. M. Herath, M. H. Liyanage and C. J. Angammana, (2023 IEEE PES GTD International Conference and Exposition (GTD))
