Personal profile
Biography
Madhushi is a Research Associate at BTIIC, where she investigates the use of artificial intelligence to improve software engineering practices. Her current research focuses on classifying and localising bugs in source code and identifying when they were introduced enabling earlier intervention and more efficient production of high-quality code.
She holds an M.Sc. in Computer Science with Artificial Intelligence from the University of York, and a B.Sc. (Hons) in Computer Science from the University of Sri Jayewardenepura in Sri Lanka. During her undergraduate studies, she was awarded a Gold Award at the Asia-Pacific ICT Alliance (APICTA) Awards 2019 in Vietnam and the Silver Award at the National ICT Awards 2019 in Sri Lanka, recognizing her innovative contributions to non-invasive medical technology through machine learning.
Madhushi’s previous industry experience greatly informs her current research. At Zepz (formerly WorldRemit), she led backend development for customer-facing mobile app features, with a focus on secure and user-friendly design. At Axiata Digital Labs, she developed scalable software systems for major telecom operators, while consultancy and teaching roles further strengthened her technical and communication skills. These diverse roles have given her a practical foundation in large-scale systems, debugging, and software quality—directly supporting her work at BTIIC.
Madhushi’s broader research interests focus on applying computer science, statistics, and mathematics to develop intelligent technologies that enhance human well-being. She is particularly passionate about Machine Learning, Artificial Intelligence, Edge Computing, and Data Analytics, aiming to turn complex ideas into practical solutions with real-world impact. Guided by the words of Sherlock Holmes, “education never ends, Watson. It is a series of lessons with the greatest for the last,” from The Adventure of the Red Circle, she embraces continuous learning as a core value—driving her curiosity, adaptability, and commitment to research that evolves with technology and human needs.
Education/Academic qualification
Master, Cross-Sectional Analysis of Housing Market Valuation Influenced by Economic Indicators in Northern Ireland with Machine Learning, University of York
Jun 2022 → Jun 2024
Award Date: 9 Jan 2025
Bachelor, Komposer V2: A Hybrid Approach to Intelligent Musical Composition Based on Generative Adversarial Networks with a Variational Autoencoder, University of Sri Jayewardenepura
Jan 2016 → 31 Dec 2019
Award Date: 2 Nov 2020
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
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SDG 9 Industry, Innovation, and Infrastructure
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Komposer V2: A Hybrid Approach to Intelligent Musical Composition Based on Generative Adversarial Networks with a Variational Autoencoder
Welikala, M. D. & Fernando, T. G. I., 31 Oct 2020, Advances in Intelligent Systems and Computing. Vol. 1. p. 413 425 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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Identifying Racist Social Media Comments in Sinhala Language Using Text Analytics Models with Machine Learning
Dias, D. S., Welikala, M. D. & Dias, N. G. J., Sept 2018, 2018 18th International Conference on Advances in ICT for Emerging Regions (ICTer). IEEEResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review