Dr. Madhawa Herath

Dean Academic SLIIT Kandy UNI

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

M. Herath, C. J. Angammana and M. Liyanage " A Study of the Effects of Appliance Energy Signatures on Different Neural Network Types in Nonintrusive Load Monitoring " IEEE Transactions on Instrumentation and Measurement, vol.72, 2023, pp.1-10, 10.1109/TIM.2023.3305664,
G. M. Herath, T. D. Thilakanayake, M. H. Liyanage, and C. J. Angammana " Analysis of Artificial Intelligence-based Methods for Sensorless Disaggregation of the Residential Electric Power Signals " SLEMA Journal, vol.25, 2022,
M. Herath, T. Jayathilaka, Y. Hoshino, and U. Rathnayake " "Deep Machine Learning-Based Water Level Prediction Model for Colombo Flood Detention Area" " Applied Sciences, vol.13, Issue 4, 2023, pp.2194,
M. Herath, T. Jayathilaka, H.M. Azamathulla, V. Mandala, N. Rathnayake, and U. Rathnayake " "Sensitivity Analysis of Parameters Affecting Wetland Water Levels: A Study of Flood Detention Basin, Colombo, Sri Lanka" " Sensors, vol.23, Issue 7, 2023, pp.3680,

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,