my-profile
Contact
mahima.w@sliit.lk
Dr. Mahima Weerasinghe
Senior Lecturer (Higher Grade)
Faculty of Computing | Computer Science
Career 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 Memberships
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
Ongoing Research
- Interpretable Neural Networks for Cancer Prediction in Collaboration with Auckland University of Technology and Lincoln University Christchurch
My Publications
Journal Publications
- M. Weerasinghe, G. Y. Wang and J. Whalley, Mark Crook- Ramsey " Mental Stress Recognition on the fly using SNNs " Nature Scientific Reports, 2023, doi.org/10.21203/rs.3.rs-1841009/v1,
- M. Weerasinghe, J. I. Espinosa-Ramos, G. Y. Wang and D. Parry " Incorporating Structural Plasticity Approaches in Spiking Neural Networks for EEG Modelling " IEEE Access, 2021, 10.1109/ACCESS.2021.3099492,
- M. Weerasinghe, G. Y. Wang and D. Parry " Emotional Stress Classification using SNNs " Psychology and Neuroscience, 2022, doi.org/10.1037/ pne0000294,
Journal Publications Under Review
- M. Weerasinghe, D. Parry, G. Y. Wang and J. Whalley " Ensemble plasticity and network adaptability in SNNs " Neurocomputing, Under Review
- 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 " Personalised modelling using machine learning enhances the accuracy of predicting persistent pain after total knee arthroplasty " British Journal of Anaesthesia, Under Review
Conference Proceedings
- M. Weerasinghe Emotional Stress State Classification and Analysis using Spiking Neural Networks in Affect, Personality and Embodied Brain Online Conference, year 2020, M. Weerasinghe,
- K. Thathsara, A. Herath, M. Weerasinghe Mental Performance Monitoring Application Using EEG and Machine Learning in International Research Conference, SLTC, 2023, year 2024,
- ] K. Balachandran, M. Krishnanathan, S. Premasiri, M. Weerasinghe Computer Vision and Deep Learning Based Assistance System for The Visually Impaired in International Research Conference, SLTC, 2023, year 2024,
- K. Gimhana, M. Weerasinghe, R. Rathnayaka Greenhouse Insect Pest Detection Using Computer Vision in International Research Conference, SLTC, 2023, year 2024,
Conference Presentations
- M. Weerasinghe " Threats and Opportunities of AI Presentation, at Sri Lanka, 2023
- M. Weerasinghe " Future of AI and Local Applications Presentation, at Sri Lanka, 2023
- M. Weerasinghe " Can Modern AI be more Power Efficient? Presentation, at New Zealand, 2023
- M.Weerasinghe " Biologically Plausible Learning Methods for Spiking Neural Networks Presentation, at Sri Lanka, 2024
- M. Weerasinghe & D. Parry " Why Neural Networks have to be Bigger? Presentation, at New Zealand, 2024
English
Sinhala
Tamil
