Working Thesis Title
Tree-Based Classification Methods for Spatial Populations with Biosecurity Applications in New Ҷֱ.
Many countries and regions have their own crop type mapping and biosecurity initiatives, however, New Ҷֱ 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 Ҷֱ considering the spatial populations.
Primary Supervisor
Research Interests
Data Science, Machine Learning, Uncertainty Analysis, Statistical Modelling.
Academic History
- MPhil 2020, Faculty of Engineering, University of Peradeniya ( Sri Lanka)
- BSc (Hons, Statistics) 2015, Faculty of Science, University of Peradeniya (Sri Lanka)
Professional History
- 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 – 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 – 2016)
Publications
1. Aberathne, I., Rathnayake, U., 2022 “A Comparative Study on Effect of Time Series Modelling and Machine Learning Approach to Predict Advertisement Airing Time Inventories.” Sri Lanka Journal of Economics, Statistics and Information Management.
2. Vijayarathna, S.P., Rathnayake, R.M.U.M., Rajapaksa, G., 2021 “A study on aggressive behavior and locomotion of zebrafish (Danio rerio) in association with polypropylene microplastic exposure”. Proceedings of the 41st annual session, Institute of Biology, Sri Lanka.
3. Aberathne, I., Walgampaya, C. and Rathnayake, U., 2021 “Novel Hidden Markov Scoring Algorithm for Fraudulent Impression Classification in Mobile Advertising.” 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. Aberathne, I., Walgampaya, C. and Rathnayake, U. 2021 “Step-Factor Resampling Technique for Imbalanced Sequence Data Classification”. Smart Innovation, Systems and Technologies, 2021, 182, pp. 125-134, Springer, Singapore. https://doi.org/10.1007/978-981-15-5224-3_12
5. Rathnayake, U., Folley, M., Gunawardane, S., Frost, C., 2020 “Investigation of the Error of Mean Representative Current Velocity Based on the Method of Bins for Tidal Turbines Using ADP Data”. Journal of Marine Science and Engineering 2020, 8, 390.https://doi.org/10.3390/jmse8060390
6. Rathnayake, R.M.U.M., Abesundara, S.P., 2016 “Modeling and Predicting the Price Fluctuation in Colombo Stock Exchange”. Proceedings of the PGIS research congress.
7. Rathnayake, U., Zubair, L., Wikramagamage, P., 2015 “System Dynamic Model for Estimating Water Scarcity in Maldives, FECT Technical Report 2016 – 09”. Foundation for Environment, Climate and Technology, Sri Lanka.
8. Agalawatte, P., Rathnayake, U., Yahiya, Z., Zubair, L., 2015 “The Climate over Sri Lanka up to the Yala of 2015, FECT Technical Report”, Foundation for Environment, Climate and Technology, Sri Lanka, October 6, 2015.
