+94 11 754 4801
info@sliit.lkCAREER SUMMARY
__ACADEMIC__
Senior Lecturer (Higher Grade) - Department of Computer Science, Faculty of Computing, Sri Lanka Institute of Information Technology (Apr 2024 - Present)
Head of Department - Data Science, Faculty of Computing and Information Technology, Sri Lanka Technological Campus (Jan 2023 - Mar 2024)
- Senior Lecturer
- Module owner – Artificial Intelligence (CCS 3440), Bionics (EE437) and Neural Networks (TCS400)
- Principal Researcher - BrAIN Labs
- Researcher/Trainer - European Union Project on Strategic Support for Accreditation of Programs and Internationalisation at South Asian Higher Education Institutes
Lecturer (Contract) - Department of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, New Zealand (May 2021 - Nov 2021)
- Modules taught - Data Analytics (COMP517)
Research Assistant - KEDRI Labs, Auckland University of Technology, New Zealand (Jun 2019 – May 2020)
- Machine learning analysis for predicting success in knee arthroplasty funded by Waitemata District Health Board, New Zealand
- Machine learning analysis for predicting youth wellbeing (Youth 2000 survey) funded by Health Research Council, New Zealand
Teaching Assistant - Department of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, New Zealand (May 2019 - Nov 2021)
- Modules assisted - Object Oriented Programming (COMP503)
Examiner - Department of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, New Zealand (Mar 2021 - Jun 2021)
- Modules assisted - Distributed and Mobile Systems (COMP713)
Instructor- Faculty of Engineering, Sri Lanka Institute of Information Technology (Jan 2012 - Mar 2012)
__INDUSTRY__
Manager - Training and Development, Singer (Sri Lanka) PLC (Dec 2016 - Apr 2019)
- Researcher - Strategic Business Unit for Data Driven Decision Making
Engineer - Singer (Sri Lanka) PLC (Mar 2012 - Dec 2016)
__VOLUNTEER__
Director Training and Leadership Development - Rotaract District 3220 Sri Lanka and Maldives, Rotary International (Jun 2016 – Jun 2017)
Charter President, Rotaract Club of Singer (Sri Lanka) PLC (Jun 2013 – Jun 2014)
ACADEMIC QUALIFICATIONS
Doctor of Philosophy, Auckland University of Technology, New Zealand (May 2019 – Jul 2023)
Master of Science in Applied Electronics, University of Colombo, Sri Lanka (Nov 2012 – Jun 2016)
- Thesis title: 3D Measurement Test Bench for Luminaires
Bachelor of Engineering Honours in Electronic Engineering (First Class) , University of Sheffield Hallam, United Kingdom in affiliation with Sri Lanka Institute of Information Technology (Jan 2009 - Jan 2012)
HONOURS AND AWARDS
- Knowledge Engineering and Discovery Research Institute scholarship, Auckland University of Technology, New Zealand, 2019
- Major Successful Project Award at the 30th Singer Management Conference for the QR Code-based Knowledge Sharing System
-
Major Successful Project Award at the 29th Singer Management Conference for the First ever Corporate Rotaract Club initiative
RESEARCH INTERESTS AND MEMBERSHIP
Research Interests
__THEORITICAL__
- Computational Neuroscience
- Artificial Neural Networks
__APPLIED__
- AI in Health
- AI in Agriculture
Memberships
Member of the Institution of Engineering and Technology
Member of the Rotary International
RESEARCH CLUSTERS
Centre of Excellence for AI (CEAI)
A multidisciplinary initiative advancing AI research in machine learning, NLP, and big data analytics to solve complex global challenges and drive intelligent decision-making.
ONGOING RESEARCH
- Interpretable Neural Networks for Cancer Prediction in Collaboration with Auckland University of Technology and Lincoln University Christchurch
PUBLICATIONS
-
Why Neural Networks have to be Bigger?
M. Weerasinghe & D. Parry,
-
Biologically Plausible Learning Methods for Spiking Neural Networks
M.Weerasinghe,
-
Can Modern AI be more Power Efficient?
M. Weerasinghe,
-
Future of AI and Local Applications
M. Weerasinghe,
-
Threats and Opportunities of AI
M. Weerasinghe,
-
Greenhouse Insect Pest Detection Using Computer Vision
K. Gimhana, M. Weerasinghe, R. Rathnayaka, (International Research Conference, SLTC, 2023)
-
Computer Vision and Deep Learning Based Assistance System for The Visually Impaired
K. Balachandran, M. Krishnanathan, S. Premasiri, M. Weerasinghe, (International Research Conference, SLTC, 2023)
-
Mental Performance Monitoring Application Using EEG and Machine Learning
K. Thathsara, A. Herath, M. Weerasinghe, (International Research Conference, SLTC, 2023)
-
Emotional Stress State Classification and Analysis using Spiking Neural Networks
M. Weerasinghe, (Affect, Personality and Embodied Brain Online Conference)
-
Personalised modelling using machine learning enhances the accuracy of predicting persistent pain after total knee arthroplasty
D. A. Rice, M. T. Kluger, N. Kasabov, M. Weerasinghe, D. K. Shah, G. N. Lewis, A. A. Somogyi, D. T. Barratt, P. J. McNair, “British Journal of Anaesthesia”
-
Ensemble plasticity and network adaptability in SNNs
M. Weerasinghe, D. Parry, G. Y. Wang and J. Whalley, “Neurocomputing”
-
Emotional Stress Classification using SNNs
M. Weerasinghe, G. Y. Wang and D. Parry, “Psychology and Neuroscience”
-
Incorporating Structural Plasticity Approaches in Spiking Neural Networks for EEG Modelling
M. Weerasinghe, J. I. Espinosa-Ramos, G. Y. Wang and D. Parry, “IEEE Access”
-
Mental Stress Recognition on the fly using SNNs
M. Weerasinghe, G. Y. Wang and J. Whalley, Mark Crook- Ramsey, “Nature Scientific Reports”
