Working Thesis Title
Tree-Based Classification Methods for Spatial Populations with Biosecurity Applications in New Zealand.
Many countries and regions have their own crop type mapping and biosecurity initiatives, however, New Zealand does not have a specific nationwide crop mapping program solely dedicated to biosecurity. Therefore, the goal of this research is to optimize and fine-tune the tree-based methods to create an accurate and efficient crop mapping program that addresses biosecurity concerns in New Zealand considering the spatial populations.听
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Primary Supervisor听
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Research Interests
Data Science, Machine Learning, Uncertainty Analysis, Statistical Modelling.
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Academic History听
- MPhil 2020, Faculty of Engineering, University of Peradeniya ( Sri Lanka)
- BSc (Hons, Statistics) 2015, Faculty of Science, University of Peradeniya (Sri Lanka)
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Professional History听
- Lecturer, Faculty of Computing and Technology, University of Kelaniya, Sri Lanka (2019 -2022)
- Visiting Lecturer in MSc in Information Technology in Education, Faculty of Computing and Technology, University of Kelaniya, Sri Lanka (2021 鈥 2022)
- Visiting Lecturer, Sri Lanka Institute of Advanced Technological Education, Sri Lanka (2018-2019)
- Research Assistant, Faculty of Engineering, University of Peradeniya, Sri Lanka (2016-2018)
- Temporary Lecturer, Faculty of Science, University of Peradeniya, Sri Lanka (2016)
- Junior Research Scientist, Foundation for Environmental, Climate and Technology, Sri Lanka (2015 鈥 2016)
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Publications
1.听听听听听 Aberathne, I., Rathnayake, U., 2022 鈥淎 Comparative Study on Effect of Time Series Modelling and Machine Learning Approach to Predict Advertisement Airing Time Inventories.鈥 Sri Lanka Journal of Economics, Statistics and Information Management.
2.听听听听听 Vijayarathna, S.P., Rathnayake, R.M.U.M., Rajapaksa, G., 2021 鈥淎 study on aggressive behavior and locomotion of zebrafish (Danio rerio) in association with polypropylene microplastic exposure鈥. Proceedings of the 41st annual session, Institute of Biology, Sri Lanka.
3.听听听听听 Aberathne, I., Walgampaya, C. and Rathnayake, U., 2021 鈥淣ovel Hidden Markov Scoring Algorithm for Fraudulent Impression Classification in Mobile Advertising.鈥 Advances in Intelligent Systems and Computing, 2021, 1183, pp. 110-118,. Springer. http://dx.doi.org/10.1007/978-981-15-5856-6_10
4.听听听听听 Aberathne, I., Walgampaya, C. and Rathnayake, U. 2021 鈥淪tep-Factor Resampling Technique for Imbalanced Sequence Data Classification鈥. Smart Innovation, Systems and Technologies, 2021, 182, pp. 125-134,听 Springer, Singapore. https://doi.org/10.1007/978-981-15-5224-3_12
5.听听听听听 Rathnayake, U., Folley, M., Gunawardane, S., Frost, C., 2020 鈥淚nvestigation of the Error of Mean Representative Current Velocity Based on the Method of Bins for Tidal Turbines Using ADP Data鈥. Journal of Marine Science and Engineering 2020, 8, 390.https://doi.org/10.3390/jmse8060390
6.听听听听听 Rathnayake, R.M.U.M., Abesundara, S.P., 2016 鈥淢odeling and Predicting the Price Fluctuation in Colombo Stock Exchange鈥. Proceedings of the PGIS research congress.
7.听听听听听 Rathnayake, U., Zubair, L., Wikramagamage, P., 2015 鈥淪ystem Dynamic Model for Estimating Water Scarcity in Maldives, FECT Technical Report 2016 鈥 09鈥. Foundation for Environment, Climate and Technology, Sri Lanka.
8.听听听听听 Agalawatte, P., Rathnayake, U., Yahiya, Z., Zubair, L., 2015 鈥淭he Climate over Sri Lanka up to the Yala of 2015, FECT Technical Report鈥, Foundation for Environment, Climate and Technology, Sri Lanka, October 6, 2015.
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