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K. E. Nirozika, S. Thulasiga, T. Krishanthi, M. Ramashini and N. T. S. G. Gamachchige, “Automatic Sri Lankan Traditional Musical Instruments Recognition In Soundtracks,” 2022 6th SLAAI International Conference on Artificial Intelligence (SLAAI-ICAI), Colombo, Sri Lanka, 2022, pp. 1-6, https://doi: 10.1109/SLAAI-ICAI56923.2022.10002483 .

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M. Ramashini, Abas, P. E., & de Silva, L. C. (2022). Probability Enhanced Entropy (PEE) Novel Feature for Improved Bird Sound Classification. Machine Intelligence Research, 19(1), 52–62. https://doi.org/10.1007/s11633-022-1318-3.

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M. Ramashini, Abas, P. E., Mohanchandra, K., & de Silva, L. C. (2022). Robust cepstral feature for bird sound classification. International Journal of Electrical and Computer Engineering (IJECE), 12(2), 1477. https://doi.org/10.11591/ijece.v12i2.pp1477-1487.

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Manisha Milani, M. G., M.Ramashini, & Krishani, M. (2021). Speech signal analysis of COVID-19 patients via machine learning approach. 2021 International Conference on Decision Aid Sciences and Application (DASA), 314–319.https://doi.org/10.1109/DASA53625.2021.9682294.

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M. Ramashini, P. E. Abas, and L. C. De Silva, “A Novel Approach of Audio Based Feature Optimisation for Bird Classification,” J. Sci. Technol., 2021, DOI: 10.47836/pjst.29.4.08

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M. M. Umar, M. Ramashini, and M. G. M. Milani, “Motion Vector Analysis Using Machine Learning Models to Identify Lung Damages for COVID-19 Patients,” in Machine Learning and IoT for Intelligent Systems and Smart Applications, Boca Raton: CRC Press, 2021, pp. 63–82, DOI: 10.1201/9781003194415-4

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M. G. M. Milani, M. Ramashini, K. Murugiah, and L. G. S. Chamal, “Exploiting optimum acoustic features in COVID-19 individual’s breathing sounds,” 2021 International Research Conference on Smart Computing and Systems Engineering (SCSE), pp. 71–76, Sep. 2021, DOI: 10.1109/SCSE53661.2021.9568369

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M. G. M. Milani, M.Ramashini, and K. Murugiah, “Sleep Pattern Analysis from PolySomnoGraphic Signals using a Supervised Machine Learning Approach,” SN Comput. Sci., 2021, https://doi.org/10.1007/s42979-021-00606-8.

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D. P. Jayathunga, R. M. I. S. Ranasinghe, and M.Ramashini, “A Comparative Study of Supervised Machine Learning Techniques for Deceptive Review Identification Using Linguistic Inquiry and Word Count,” Springer, Cham, 2021, pp. 97–105, https://doi.org/10.1007/978-3-030-68133-3_10.

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M. G. M. Milani, M. Ramashini, and M. Krishani, “A real-time application to detect human voice disorders,” in 2020 International Conference on Decision Aid Sciences and Application, DASA, 2020, pp. 979–984,https://doi.org/10.1109/DASA51403.2020.9317268.

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M. G. M. Milani, M. Ramashini, M. M. H. Imran, and M. Krishani, “Forecasting of Supply Chain Management for Non-Communicable Diseases,” in Online International Conference on Advances in Computing and Technology, University of Kelaniya, 2020.

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M. Ramashini, P. E. Abas, U. Grafe, and L. C. De Silva, “Bird Sounds Classification Using Linear Discriminant Analysis,” ICRAIE 2019 – 4th Int. Conf. Work. Recent Adv. Innov. Eng. Thriving Technol., vol. 2019, pp. 27–29, 2019, https://doi.org/10.1109/ICRAIE47735.2019.9037645

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M. Ramashini, D. P. Jayathunga, A. Gowthamy, N. Rammiya, and U. Kiruthiga, “Personalized Recommendation System for Leisure Time Activity Using Social Media Data,” in 11th International Research Conference – General Sir John Kotelawala Defence University, 2019

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M. Ramashini, C.S.D.Ellepola, and D.P.Jayathunga, “A framework to effectively use social media as a marketing strategy for start-up companies,” Int. J. Trends Eng. Technol., vol. 28, no. 1, 2018.

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V. Bavathuja, S. Raahini, M. Ramashini, and S. T. C. I. Wimaladharma, “Identification of Anomalous Clients ’ Request by Analyzing Server Log File using Apache Hadoop Framework and Tableau,”in International Research Conference of Uva Wellassa University 2018

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M.Ramashini, D.P.Jayathunga, and N.P.Samarasinghe, “Big Data Analyzed Marketing Strategies for Sri Lankan Small and Medium Enterprises,” Int. J. Adv. Electron. Comput. Sci., vol. 4, no. 4, pp. 10–14, 2017

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D. S. Wijenayake, M. Ramashini, and A. M. P. Chandrasiri, “Federated Cloud Market Models For Sri Lankan Small And Medium-Sized Enterprises,” in International Research Symposium of Uva Wellassa University of Sri Lanka, 2017, February, pp. 2–4

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L. K.L.K.R. and M. Ramashini, “Nitrogen Level Measuring System for Rice Cultivation,” in International Research Symposium of Uva Wellassa University, 2015

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M. Ramashini and B.S Mohamadi Begum, “Interoperability in Mobile Cloud Computing with Offloading,” Int. J. Innov. Res. Sci. Eng. Technol., vol. 3, no. 3, 2014

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Books

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M. G. M. Milani, M. Ramashini, K. Murugiah, M.Perumal, “Acoustic-Based Applications for Vertebrate Vocalization”, Springer, Cham Publication”,https://doi.org/10.1007/978-3-030-85773-8.2021

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Patents

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Continuous labelling assessment of products to improve efficiency of reverse logistics by deep learning modelContinuous labelling assessment of products to improve efficiency of reverse logistics by deep learning model, AU 2020101729, Issued Sep 2, 2020. http://pericles.ipaustralia.gov.au/ols/auspat/applicationDetails.do

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Nominated to attend the “Winter School on Speech and Audio Processing (WiSSAP) organized by IIT Mandi, India(2020)

Nominated and selected as representative from Brunei to addend “The Ewha-Luce International Seminar (ELIS) – Expanding Horizons” organized by Ewha Womans University and Henry Luce Foundation(2019)

Nominated and served as a mentor for higher secondary class students of Maktab Sains Paduka Seri Bagawan Sultan school students in the MUMTAZ Research Project Competition(2019)

Awarded the University graduate scholarship from Universiti Brunei Darussalam as a fully funded scholarship for foreign students to study PhD in Systems Engineering at Universiti Brunei Darussalam( From 2018 to 2021 August)

Awarded as “The Best portfolio” in 6th Certificate Course in Teaching in Higher Education (CTHE), Uva Wellassa University(2018)

• Mobile Computing
• Cloud Computing
• Data Structured and Algorithms
• Structured Programming
• Object Oriented Programming
• Software Engineering
• Software Design using Design Patterns
• Introduction to Computer Science and Technology
• Computer Programming
• Cryptographic Systems
• Data and Network Security