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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

“Neuromorphic Computational Data Modelling Techniques for Spatiotemporal Brain Data”

Master of Science in Applied Electronics, University of Colombo, Sri Lanka  (Nov 2012 – Jun 2016)

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)

 

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“Neuromorphic Computational Data Modelling Techniques for Spatiotemporal Brain Data”

Master of Science in Applied Electronics, University of Colombo, Sri Lanka  (Nov 2012 – Jun 2016)

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)

 

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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)

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)

 

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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)

 

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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)

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)

 

">

“Neuromorphic Computational Data Modelling Techniques for Spatiotemporal Brain Data”

Master of Science in Applied Electronics, University of Colombo, Sri Lanka  (Nov 2012 – Jun 2016)

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)

 

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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)

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

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

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