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Temporary Demonstrator, Department of Statistics & Computer Science, University of Kelaniya- 
A Novel Statistical Framework for Evaluating Competing Forecasting Models
Gold Medalist in Statistics for the academic performance in the Faculty of Science, University of Kelaniya awarded by the Alumni Association of the Faculty of Science, University of Kelaniya
Lifetime member of the Institute of Applied Statistics (IASSL), Sri Lanka
Member of the Young Scientists Forum (YSF)
Newly Recruited Probationary Lecturers (NRPL) Grant - University of Peradeniya (NRPL/2023/03/S)Journal of Applied Data Sciences
B. R. P. M. Basnayake and N. V. Chandrasekara (2026). Application of Random Data Splitting Technique for Time Series Modeling Using Feedforward Neural Network and Support Vector Regression Models. Journal of Applied Data Sciences, 7 (2): 1496 - 1515.
https://bright-journal.org/Journal/index.php/JADS/article/view/1216
Mathematics and Statistics
B. R. P. M. Basnayake and N. V.Chandrasekara (2025). Generalized Lambda Distribution-Based Change Point Detection Technique: A Comparative Study with Pruned Exact Linear Time (PELT) Approach. Mathematics and Statistics, 13 (6): 529 - 541.
https://www.hrpub.org/journals/article_info.php?aid=15544
International Research Conference on Smart Computing and Systems Engineering (SCSE), Colombo, Sri Lanka
B. R. P. M. Basnayake and N. V. Chandrasekara (2025). Comparative Study on Neural Network and Transformer-based Models for Predicting Exchange Rates in Sri Lanka. International Research Conference on Smart Computing and Systems Engineering (SCSE), Colombo, Sri Lanka, : 1-6.
https://ieeexplore.ieee.org/document/11030966
Malaysian Journal of Science
B. R. P. M. Basnayake and N. V. Chandrasekara (2025). The Effects of Technical Indicators on Exchange Rates: Empirical Insights from Quantile Regression Models. Malaysian Journal of Science, 44 (3): 64-72.
DOI: https://doi.org/10.22452/mjs.vol44no3.7
The Indian Economic Journal
Basnayake, B. R. P. M., & Chandrasekara, N. V. (2025).
DOI: https://journals.sagepub.com/doi/10.1177/00194662241227585
Proceedings of the International Statistics Conference (ISC)
Basnayake, B.R.P.M. & Chandrasekara, N.V. (2024). Application of Transformer Models for Predicting Exchange Rates Related to Sri Lanka . Proceedings of the International Statistics Conference (ISC), : 58.
https://www.researchgate.net/publication/398513795_Application_of_Transformer_Models_for_Predicting_
International Research Conference on Smart Computing and Systems Engineering (SCSE)
B. R. P. M. Basnayake and N. V. Chandrasekara (2024). Assessing the Performance of Feedforward Neural Network Models with Random Data Split for Time Series Data: A Simulation Study. International Research Conference on Smart Computing and Systems Engineering (SCSE), .
https://ieeexplore.ieee.org/document/10550735
4th International Conference on Advanced Research in Computing (ICARC)
B. R. P. M. Basnayake and N. V. Chandrasekara (2024). Utilization of Various Optimization Algorithms in Neural Network Models for Forecasting Exchange Rates. 4th International Conference on Advanced Research in Computing (ICARC), : 55-60.
https://ieeexplore.ieee.org/document/10499767
Proceedings of the Postgraduate Institute of Science Research Congress, University of Peradeniya
Basnayake, B.R.P.M. & Chandrasekara, N.V. (2023). Generalized lambda distribution-based
quantile regression Model to analyse the exchange rate movements in Sri Lanka. Proceedings of the Postgraduate Institute of Science Research Congress, University of Peradeniya, : 40.
https://www.researchgate.net/publication/377363700_GENERALIZED_LAMBDA_DISTRIBUTION-BASED_QUANTILE_RE
Proceedings of the 9th Ruhuna International Science and Technology Conference, Faculty of Science, University of Ruhuna, Sri Lanka
Basnayake, B.R.P.M., & Chandrasekara, N.V. (2022). Estimating the empirical distributions of exchange rates volatility in Sri Lanka. Proceedings of the 9th Ruhuna International Science and Technology Conference, Faculty of Science, University of Ruhuna, Sri Lanka, : 49.
Journal of Agricultural Sciences – Sri Lanka
Basnayake, B.R.P.M., Kaushalya, K.D., Wickaramarathne, R.H.M., Kushan, M.A.K. and Chandrasekara, N.V. (2022). An Approach for Prediction of Weekly Prices of Green Chili in Sri Lanka: Application of Artificial Neural Network Techniques
. Journal of Agricultural Sciences – Sri Lanka, 17(2): 333–349.
DOI: http://doi.org/10.4038/jas.v17i2.9746
International Conference on Applied and Pure Sciences 2022, University of Kelaniya
Basnayake, B.R.P.M. & Chandrasekara, N.V. (2022).
Statistics and Applications {ISSN 2454-7395 (online)}
B. R. P. M. Basnayake and N. V. Chandrasekara (2022).
Int. J. Business and Data Analytics
Basnayake, B.R.P.M., Hewaarachchi, A.P. & Chandrasekara, N.V. (2022). Evaluating and predicting the quality performance in apparel: an
application of data science techniques. Int. J. Business and Data Analytics, 2(2): 171-186.
DOI: 10.1504/IJBDA.2023.10050945
Journal of Science of the University of Kelaniya Sri Lanka
B. R. P. M. Basnayake and N. V. Chandrasekara (2022). FORECASTING EXCHANGE RATES IN SRI LANKA: A COMPARISON OF THE DOUBLE SEASONAL AUTOREGRESSIVE INTEGRATED MOVING AVERAGE MODELS (DSARIMA) AND SARIMA MODELS. Journal of Science of the University of Kelaniya Sri Lanka, 15(2): 192-209.
DOI: https://josuk.sljol.info/articles/abstract/10.4038/josuk.v15i2.8067/
National Conference on “COVID-19: Impact, Mitigation, Opportunities and Building Resilience”, National Science Foundation
Chandrasekara, N. V., Weerasinghe, W.P.M.C.N. & Basnayake, B. R. P. M. (2021). Learning and Mental Well-being Challenges Faced by the Physical Science Undergraduates of the Faculty of Science, University of Kelaniya during the Covid-19 Pandemic. National Conference on “COVID-19: Impact, Mitigation, Opportunities and Building Resilience”, National Science Foundation, : 24.
Proceedings of the 21st International Postgraduate Research Conference, Faculty of Graduate Studies, University of Kelaniya, Sri Lanka
Basnayake, B.R.P.M., & Chandrasekara, N.V. (2021). Probability distributions in modelling the financial data: A literature review. Proceedings of the 21st International Postgraduate Research Conference, Faculty of Graduate Studies, University of Kelaniya, Sri Lanka, : 09.
COVID 19: Impact, Mitigation, Opportunities and Building Resilience “From Adversity to Serendipity”, Perspectives of global relevance based on research, experience and successes in combating COVID-19 in Sri Lanka, National science Foundation, Sri Lanka
Chandrasekara, N. V., Weerasinghe, W.P.M.C.N. & Basnayake, B. R. P. M. (2021). Impact of Covid-19 Pandemic on Education and Mental Health of Physical Science Undergraduates in the Faculty of Science, University of Kelaniya. COVID 19: Impact, Mitigation, Opportunities and Building Resilience “From Adversity to Serendipity”, Perspectives of global relevance based on research, experience and successes in combating COVID-19 in Sri Lanka, National science Foundation, Sri Lanka, I: 263-273.
International Journal of Data Science
Basnayake, B.R.P.M., & Chandrasekara, N.V. (2021). Tourist volume prediction using Data Mining techniques and Change Point detection: A case study for Sri Lanka. International Journal of Data Science, VI: 205-222.
Proceedings of the 4th International Research Conference, University of Uva Wellassa, Sri Lanka
Basnayake, B.R.P.M., Hewaarachchi, A.P. & Chandrasekara, N.V. (2020). Modelling Daily First Time Through status for a top brand in a leading apparel manufacturing company in Sri Lanka. Proceedings of the 4th International Research Conference, University of Uva Wellassa, Sri Lanka, : 165.
40th International Symposium on Forecasting, International Institute of Forecasters.
Basnayake, B.R.P.M., & Chandrasekara, N.V. (2020). Predicting Tourist Arrivals in Sri Lanka: A Comparison of Time Series
Models and Time Delay Neural Networks. 40th International Symposium on Forecasting, International Institute of Forecasters., .
https://whova.com/embedded/session/iiofe_202006/1323769/
13th International Research Conference (Basic and Applied Sciences), General Sir John Kotelawala Defence University, Sri Lanka
Basnayake, B.R.P.M., & Chandrasekara, N.V. (2020). Prediction of Tourist Arrivals in Sri Lanka: Comparison of Time Series models. 13th International Research Conference (Basic and Applied Sciences), General Sir John Kotelawala Defence University, Sri Lanka, : 23.
Proceedings of the International Conference on Applied and Pure Sciences, University of Kelaniya, Sri Lanka
Basnayake, B.R.P.M., & Chandrasekara, N.V. (2020). Tourist volume forecasting: An approach with supervised machine learning algorithms. Proceedings of the International Conference on Applied and Pure Sciences, University of Kelaniya, Sri Lanka, : 79.
Proceedings of the Sri Lanka Economic Research Conference, Uva Wellassa University of Sri Lanka, Badulla, Sri Lanka
Kushan, M. A. K., Basnayake, B. R. P. M., Kaushalya, K. D., Wickramarathne, R. H. M. & Chandrasekara, N. V. (2020). Forecasting weekly and monthly open market average retail prices of Green Chilies in Colombo. Proceedings of the Sri Lanka Economic Research Conference, Uva Wellassa University of Sri Lanka, Badulla, Sri Lanka, IX: 214-220.
The Conference Proceedings of 11th International Conference on Business & Information ICBI, University of Kelaniya, Sri Lanka.
Basnayake, B. R. P. M., Hewaarachchi, A. P. & Chandrasekara, N. V. (2020). Assessment of the State of Quality in garments applying Data mining mechanisms: A Case Study in the Apparel Industry. The Conference Proceedings of 11th International Conference on Business & Information ICBI, University of Kelaniya, Sri Lanka., : 659-670.