• Evaluating and Predicting the Quality in Apparel using Data Science Techniques.
• Tourist volume prediction using Data Mining techniques and Change Point detection for Sri Lanka.
• An Approach for Prediction of Weekly Prices of Green Chili in Sri Lanka.
• Developing a Hybrid model for Forecasting Exchange Rates in Sri Lanka using Time series and Neural Network Approaches
• Detection of β − Thalassemia Carriers using Data Mining Techniques
• A Statistical Approach to Assess Faceted Blue Sapphire Gemstones
• Identification of factors towards elephant deaths due to the human-elephant conflicts
• Identification of Reasons for Culpable Homicides and Attempted Murders: A Case Study for the Kelaniya Police Division.
• A Study on Factors Associated with Child Sexual Abuse and Recognizing the Severity: Special Reference to Galle District.
• Advancing Tourism Demand Forecasting in Sri Lanka: Evaluating the Performance of Machine Learning Models and the Impact of Social Media Data Integration
• Analysis of Employee Satisfaction in the Information Technology Industry Using Artificial Neural Networks: A Case Study from Sri Lanka
• Enhancing Usability In Learning Management Systems: Exploring Future Prospects With Virtual Assistants
• Improving Science Education In Sri Lankan Schools Through Augmented Reality: Perspectives Of Students

• Accelerating Higher Education Expansion and Development (AHEAD) Operation Development Oriented Research (DOR) STEMS Grants received by the Faculty of Science, University of Kelaniya:
  • AHEAD/RA3/DOR/KLN/SCI/OVAA/01
  • AHEAD/RA3/DOR/KLN/SCI/OVAA/09
• University of Kelaniya Strengthening Research Output Grant - RC/SROG/2021/02
• University of Kelaniya Research Grant - RP/03/02/08/01/2021
• University of Kelaniya Research Grant – RP/03/02/09/01/2022

Indexed Journal Papers:

1. Chandrasekara, N.V. and Tilakaratne, C.D. (2009). Forecasting Exchange Rates
2. using Artificial Neural Networks, Sri Lankan Journal of Applied Statistics, 10, 187- 201.
3. Peramuna, P.R.N.L., Chandrasekara, N.V. and Jayasundara, D.D.M. (2013). Identifying Factors affecting the severity of Asthma. European International Journal of Science and Technology, 2 (7), 183-191.
4. Dissanayake, P.L., Chandrasekara, N.V. and Jayasundara, D.D.M. (2014). The Impact of Mothers Migration for Work Abroad on Children's Education in Sri Lanka. European International Journal of Science and Technology, 3 (1), 110-120.
5. Nanayakkara, K.A.D.S.A., Chandrasekara, N.V. and Jayasundara, D.D.M. (2014). Forecasting Exchange Rates using Time Series and Neural Network Approaches. European International Journal of Science and Technology, 3 (2), 65-73.
6. Chandrasekara, N.V. and Tilakaratne, C.D. (2014). Identifying Return Distribution of Sri Lankan Stock Market Index. Universal Journal of Accounting and Finance, 2 (3), 53-56.
7. Chandrasekara, N.V., Tilakaratne, C.D. and Mammadov, M.A. (2015). Identifying Distributions of Selected Stock Returns. International Journal of Statistics and Economics, 16 (2), 7-22.
8. Chandrasekara, N.V., Mammadov, M.A. and Tilakaratne, C.D. (2015), Estimating Parameters of Multivariate Scaled t Distribution of GSPC and its Associated Financial Indices. International Journal of Statistics and Economics. 16 (3), 20-29.
9. Chandrasekara, N.V., Tilakaratne, C.D. and Mammadov, M.A. (2016). Return Distributions of Selected Financial Indices that Associated with Stock Indices. International Journal of Statistics and Applications, 6 (3), 156-162.
10. Pitigalaarachchi, P.A.A.C., Jayasundara, D.D.M. and Chandrasekara, N.V. (2016). Modeling and Forecasting Sri Lankan Gold Prices. International Journal of Sciences: Basic and Applied Research, 27 (3), 247- 260.
11. Chandrasekara, N.V., Mammadov, M.A. and Tilakaratne, C.D. (2016). Determining and Comparing Multivariate Distributions: An Application to AORD and GSPC with their related financial markets. Journal of Mathematics, Statistics and Operations Research (JMSOR), 3 (2), 32- 39.
12. Chandrasekara, N.V., Mammadov, M.A. and Tilakaratne, C.D. (2016). Parameter Estimation of Multivariate Scaled t Distribution: An Application to All Share Price Index. Advances and Applications in Statistics, 49 (4), 287-303.
13. Nanayakkara, K.A.D.S.A. and Chandrasekara, N.V. (2017). Comparison of Time Series and Neural Network Models to Predict Coconut Fibre Exports in Sri Lanka. International Journal of Mathematics and Computation, 28 (2), 67-76.
14. Chandrasekara, N.V., Mammadov, M.A. and Tilakaratne, C.D. (2018). An Ensemble Technique for Multi Class Imbalanced Problem using Probabilistic Neural Networks. Advances and Applications in Statistics, 53 (6), 647-658.
15. Saumyamala, M.G.A. and Chandrasekara, N.V. (2019). Hourly Solar Radiation Forecasting using Artificial Neural Network Model for Colombo, Sri Lanka. Advances and Applications in Statistics, 56 (2), 143-151.
16. Vasana Chandrasekara, Chandima Tilakaratne and Musa Mammadov. (2019). An Improved Probabilistic Neural Network Model for Directional Prediction of a Stock Market Index. Applied Sciences 2019, 9, 5334; doi: 10.3390/app9245334.
17. Hakmanage N.M., Chandrasekara N.V. and Jayasundara D.D.M. (2020). Comprehensive Sustainable cultivation development plans based on statistical/ mathematical models. International Journal of Scientific and Research Publications (IJSRP), 10 (08), 255-259.
18. Hakmanage N.M., Chandrasekara N.V. and Jayasundara D.D.M. (2021). Application of Linear Programming Models for Optimal Resource Planning and Management in Sustainable Cultivation – A Case Study in a Farming Village in Sri Lanka. Advances and Applications in Statistics, 67 (1), 21-31.
19. Hakmanage, N.M., Chandrasekara, N.V. and Jayasundara, D.D.M., (2021). Early Recognition of Rainfall to Plan and Manage the Cultivation: A Forecasting Model Using Artificial Neural Networks for Dompe Divisional Secretariat in Gampaha District, Sri Lanka. Tropical Agricultural Research, 32(2), 191–200.
20. Dewangani, H.G.N., Jayawardena, B.M., Chandrasekara N.V. and Wijayagunaratne H.D. S.P. (2021). Effect of Common Culinary Methods Practiced in Sri Lanka on the Nutrient Composition of Commonly Consumed Vegetables and Other Foods. International Journal of Food Science, Volume 2021, Article ID 5537683, 13 pages, DOI: 10.1155/2021/5537683.
21. Silva H, Liyanage A, Deerasinghe T, Chandrasekara V, Chellappan K, Karunaweera N.D. (2021) Treatment failure to sodium stibogluconate in cutaneous leishmaniasis: A challenge to infection control and disease elimination. PLoS ONE, 16(10): e0259009.
22. Hakmanage N.M., Chandrasekara N.V. and Jayasundara D.D.M. (2022). Application of fuzzy goal programming model to assess the optimal multi crop cultivation plan. Agriculture and Natural Resources, 56 (2022), 193-202.
23. Basnayake, B. R. P. M. and Chandrasekara, N. V. (2022). Tourist volume prediction using Data Mining techniques and Change Point detection for Sri Lanka. International Journal of Data Science, 6, (3), 205-222.
24. Dewangani, H. G. N., Jayawardena, B. M., Chandrasekara, N. V. and Welivita, C. (2022) Changes in the Antioxidant Micronutrients and Volatile Metabolomics Profile of Selected Edible Vegetables cooked with Coconut Milk and Heat Extracted Coconut Oil. Journal of Culinary Science & Technology, DOI: 10.1080/15428052.2022.2052392.
25. 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. The Journal of Agricultural Sciences - Sri Lanka, 17 (2), 333-349.
26. Basnayake, B. R. P. M., Hewaarachchi, A. P. and Chandrasekara, N. V (2022). Evaluating and Predicting the Quality in Apparel using Data Science Techniques. International Journal of Business and Data Analytics, 2(2), 171- 186.
27. Basnayake, B.R.P.M. and Chandrasekara, N.V. (2022). Use of Change Point Analysis in Seasonal ARIMA Models for Forecasting Tourist Arrivals in Sri Lanka. Statistics and Applications, 20 (2), 103-121.
28. Basnayake, B.R.P.M. and Chandrasekara, N.V. (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 University of Kelaniya 15 (2), 192-209.
29. Dilshan, L. H. K.; Withanage, N. and Chandrasekara, N. V. (2023). A Study on Factors Associated with Child Sexual Abuse and Recognizing the Severity: Special Reference to Galle District. Sri Lankan Journal of Applied Statistics, 24 (1), 19-30.
30. Weerakoon, H. L. A.  and Chandrasekara, N. V. (2023). Identification of Reasons for Culpable Homicides and Attempted Murders: A Case Study for the Kelaniya Police Division. Sri Lankan Journal of Applied Statistics, 24 (1), 31-45.
31. I Hewapathirana, W Aberathna, L Alles, WN Wickremasinghe, Modeling and Forecasting Mortality in Sri Lanka, Sri Lankan Journal of Applied Statistics.
32. I Hewapathirana, Change Detection in Dynamic Attributed Networks, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
33. Hewapathirana, I. U., Lee, D., Moltchanova, E., & McLeod, J. (2020). Change detection in noisy dynamic networks: a spectral embedding approach. Social Network Analysis and Mining, 10(1), 1-22.
34. Hewapathirana, I. U., & Lee, D. (2022). Combining Information from Multiple Views for Vertex-Based Change Detection in Dynamic Networks: A Comparative Study. SN Computer Science, 3(2), 1-29.
35. Hewapathirana, I. U. (2023). A Review on Current Trends and Applications of Social Media Research in Sri Lanka. Cloud Computing and Data Science, 223-242.

1. Rangana, D. L. M., Chandrasekara, N. V. and Tilakaratne, C. D. (2011). Comparison of Support Vector Regression and Artificial Neural Network Models to Forecast daily Colombo Stock Change. Proceedings of the International Statistics Conference, Institute of Applied Statistics, Sri Lanka, 151-160.
2. Dilrukshi, I. and Chandrasekara, N. V. (2013). Automated Response Recognition System for Questionnaires. 7thInternational Conference of the Computer Science & Education (ICCSE), IEEE, 851-854.
3. Chandrasekara, N. V., Mammadov, M. A. and Tilakaratne, C. D. (2016). Identifying Multivaraite Distribution of Australian All Ordinary Index and Related Financial Markets. Proceedings of the 4th Annual International conference on Operations Research and Statistics, Singapore, 8-13.
4. Kumara, J.L.S.M. and Chandrasekara. N.V. (2019). Influence of the Factors Associated with Suicides: A Case Study for the Kelaniya Police Division in Sri Lanka. Proceedings of the 12th International Research Conference of Kothalawala Defense University, Sri Lanka, 588-594.
5. Samarakoon, H.H.T.P., Madhuwanthi, R.A.N., Wijayawardhana, H.N.A.M. and Chandrasekara, N.V. (2019). Modelling and Forecasting Monthly Petroleum Crude Oil Prices Using a Hybrid Time Series Model. Proceedings of the 12th International Research Conference of Kothalawala Defense University, Sri Lanka, 595-601.
6. Saumyamala, M.G.A., Weerasinghe, W.P.M.C.N., Kumara, J.L.S.M., Sachithra, S.A.L. and Chandrasekarasekara, N.V. (2019). Modelling Open Market Retail Price of Red Onions in Colombo using ARIMA-GARCH Mixed Model. Proceedings of the 12th International Research Conference of Kothalawala Defense University, Sri Lanka, 602-608.
7. Perera, M.S.H., Karunarathne, A.W.S.P., Hewage, S.S., Sandamali, L.B.U. and Chandrasekara, N.V. (2019). A seasonal ARIMA model to forecast monthly potato yield in Sri Lanka. Proceedings of the 12th International Research Conference of Kothalawala Defense University, Sri Lanka, 622-627.
8. Kushan, M.A.K. and Chandrasekara, N.V. (2020). Identification of factors and classifying the accident severity in Colombo - Katunayake expressway, Sri Lanka. Proceedings of Smart Computing and Systems Engineering, 2020 (IEEE), 166-173.
9. Basnayake, B. R. P. M., Hewaarachchi, A. P. and Chandrasekara, N. V (2020). Assessment of the State of Quality in garments applying Data mining mechanisms: A Case Study in the Apparel Industry. Proceedings of 11th International Conference on Business & Information ICBI, University of Kelaniya, Sri Lanka, 659-670.
10. Kushan, M. A. K., Basnayake, B. R. P. M., Kaushalya, K. D., Wickramarathne, R. H. M. and Chandrasekara, N. V. (2020). Forecasting Weekly and Monthly Open Market Average Retail Prices of Green Chili in Colombo. Proceedings of the 9th International Conference of the Sri Lanka Forum of University Economists (SLFUE), 214-220.
11. Wickramarathne, R. H. M. and Chandrasekara, N. V. (2020). An Analysis of Colombo Open Market Average Retail Prices of Big Onion in Sri Lanka using Time Series Forecasting Techniques. Proceedings of the 9th International Conference of the Sri Lanka Forum of University Economists (SLFUE), 221-227.
12. Perera, D.F.S.N., Lakshika, B.H.H., Sanjeewani, D.S., Chanika, P.A.L. and Chandrasekara, N. V. (2020). Forecasting Exchange Rates and Modeling the Relationship between Currency in Circulation in Sri Lanka. Proceedings of the 9th International Conference of the Sri Lanka Forum of University Economists (SLFUE), 112-116.
13. Wijekoon, H.M.S.D., Pathirana, H.V.P.K.G., Fernando, H.K.K. and Chandrasekara, N.V. (2021). The Study of Factors Affecting Textile and Apparel Exports in Sri Lanka. Proceedings of 12th International Conference on Business & Information ICBI, University of Kelaniya, Sri Lanka 1-13, ISSN 2465-6399.
14. Gunarathne, K. M. U., Perera, D. H. N., Liyanage, L. T. H. and Chandrasekara, N. V. (2021). The Impact of Exchange Rate on Imports and Exports: Evidence from Sri Lanka. Proceedings of 12th International Conference on Business & Information ICBI, University of Kelaniya, Sri Lanka, 14-22, ISSN 2465-6399.
15. Caldera, P.A.D.S.P., Malshika, N.N.D., Nikapitiya, S.H.A.S., Udugedara, U.S.C.B. and Chandrasekara, N.V. (2021). Time series modeling and forecasting of total primary energy consumption in Sri Lanka. Special Issue of the Proceedings of International Conference on Applied and Pure Sciences, 2021 Faculty of Science, University of Kelaniya, Sri Lanka, 56-63.
16. Erandi J.D.T., Dilshan L.H.K., Piyasena K.N.T. and Chandrasekara, N.V. (2022). Time Series and Neural Network Approaches for Accurate Forecasting of Monthly Natural Rubber Prices in Sri Lanka. Proceedings of 6^th SLAAI International Conference on Artificial Intelligence (SLAAI-ICAI), (IEEE), DOI: 10.1109/SLAAI-ICAI56923.2022.10002480.
17. Grabau, S., & Hewapathirana, I. (2021, September). Simulation analysis of an expressway toll plaza. In 2021 International Research Conference on Smart Computing and Systems Engineering (SCSE) (Vol. 4, pp. 223-229). IEEE.
18. Hewapathirana, I., Kekayan, N., & Diyasena, D. (2022, September). A systematic investigation on the effectiveness of the tabbert model for credit card fraud detection. In 2022 International Research Conference on Smart Computing and Systems Engineering (SCSE) (Vol. 5, pp. 96-101). IEEE.

Conference Proceedings – Abstract:

1. Fernando, M.A.I. D. and Chandrasekara, N. V. (2012). Automated Response Recognition System for Questionnaires. Proceedings of the 68th Annual Session of the Sri Lanka Association for Advancement of Science –SLASS, 54.
2. Nanayakkara, K. A. D. S. A., Chandrasekara, N. V. and Jayasundara, D. D. M. (2013). Forecasting Exchange Rates using Time Series and Neural Network Approaches. Proceedings of the 69th Annual Session of the Sri Lanka Association for Advancement of Science –SLASS, 145.
3. Dissanayake, P. L., Chandrasekara, N. V. and Jayasundara, D. D. M. (2013). Impact of Mothers Migration on Children's Education. Proceedings of the 69th Annual Session of the Sri Lanka Association for Advancement of Science –SLASS, 143.
4. Peramuna, P. R. N. L., Chandrasekara, N. V. and Jayasundara, D. D. M. (2013). Identifying Factors affecting the severity of Asthma in Kegalle. Proceedings of the 69th Annual Session of the Sri Lanka Association for Advancement of Science –SLASS, 144.
5. Chandrasekara, N. V., Tilakaratne, C. D. and Mammadov, M. A. (2014). Return Distributions of Oil Index and Gold Index. Proceedings of the Regional Fundamental Science Congress 2014, Malaysia. 261-263.
6. Chandrasekara, N. V., Tilakaratne, C. D. and Mammadov, M. A. (2014). Analyzing Return Distribution of World Cocoa Index. Proceedings of the International Statistics Conference 2014 Sri Lanka, 225.
7. Nanayakkara, K. A. D. S. A. and Chandrasekara, N. V. (2014). Forecasting Exports of Coconut Fibre in Sri Lanka. Proceedings of the International Statistics Conference 2014 Sri Lanka. 224.
8. Pitigalaarachchi, P. A. A. C., Jayasundara, D. D. M. and Chandrasekara, N. V. (2015). Forecasting Sri Lankan Gold Prices using Time Series Analysis. Proceedings of the Peradeniya University International Research Session 2015, Sri Lanka, 279.
9. Chandrasekara, N. V., Mammadov, M. A. and Tilakaratne, C. D. (2015). Modelling real world problems with Multivariate Distributions: An application to All Share Price Index and related financial indices. Proceedings of the International Postgraduate Research Conference 2015, University of Kelaniya, 206.
10. Mahanthege, S. R., Chandrasekara, N. V. and Jayasundara, D. D. M. (2016). Modeling and forecasting OPEC reference basket crude oil prices using Artificial neural networks. 2nd International Engineering Research Conference, University of Moratuwa, Sri Lanka, 133.
11. Sivaraj, L. B. M., Chandrasekara, N. V. and Jayasundara, D. D. M. (2017). Forecasting Monthly Pepper Retail Price using a Traditional Time Series Model and Artificial Neural Network. Proceedings of 4th International Conference on Multidisciplinary Approaches, University of Sri Jayawardhanapura, Sri Lanka, 12.
12. Shashikala, M. A. G., Chandrasekara, N. V. and Jayasundara, D. D. M. (2017). Prediction of daily gold prices in Sri Lanka: A comparison of time series and artificial neural network models. Proceedings of the International Research Symposium on Pure and Applied Sciences, University of Kelaniya, Sri Lanka, 123.
13. Sivaraj, L. B. M., Chandrasekara, N. V. and Jayasundara, D. D. M. (2017). Forecasting Monthly Pepper Retail Prices in Sri Lanka: A Neural Network Approach. Proceedings of the International Statistics Conference 2017 – IASSL, Sri Lanka, 148.
14. Saumyamala, M. G. A. and Chandrasekara, N. V. (2018). Development of an Artificial Neural Network Model for Prediction of Global Solar Radiation in Colombo, Sri Lanka. Proceedings of 3rd National Undergraduate Research Symposium 2018, University of Ruhuna, Sri Lanka, 9.
15. Hakmanage, N.M., Chandrasekara, N.V. and Jayasundara, D.D.M. (2019). Statistical and mathematical models for a sustainable cultivation plan - A brief review of the literature. Proceedings of the International Conference on Applied Social Statistics, University of Kelaniya, 23-25.
16. Premathilake, L.M. and Chandrasekara, N. V. (2019). Predicting the movement of All Share Price Index using neural networks. Proceedings of the 4th International Conference in Advances in Computing and Technology, Colombo, Sri Lanka, 4.
17. Hewage, S.S. and Chandrasekara, N. V. (2019). An Application of Artificial Neural Networks to Predict the Milk Yield of a Typical Dairy Farm in Sri Lanka. Proceedings of the 4thInternational Conference in Advances in Computing and Technology, Colombo, Sri Lanka, 14.
18. Saumyamala, M. G. A. and Chandrasekara, N. V. (2019). Forecasting future inflation rate in Sri Lanka using NARX neural network model. Proceedings of 4th International Research Symposium on Pure and Applied Sciences 2019, Faculty of Science, University of Kelaniya, 190.
19. Hakmanage, N.M., Chandrasekara, N.V. and Jayasundara, D.D.M. (2019). Modeling and forecasting of selected climatic factors influenced on sustainable cultivation plan: A case study for Dompe-Gampaha district. Proceedings of the 20th International Postgraduate Research Conference of University of Kelaniya, 75.
20. Kaveendri, D.H.D., Chandrasekara, N.V. and Arunashantha, H.A.S. (2019). Spatial Analysis of Monthly and Seosonal Rainfall in Sri Lanka. Proceedings of the 20th International Postgraduate Research Conference of University of Kelaniya, 71.
21. Chandrasekara, N. V., Weerasinghe, W. P. M. C. N. and Basnayake, B. R. P. M. (2020). 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. Proceedings of the National Conference on COVID 19: Impact, Mitigation, Opportunities and Building Resilience, 24.
22. Kushan, M.A.K. and Chandrasekara, N.V. (2020). Identification of Factors and Forecasting the possibility of Human Injuries due to an Accident in Colombo-Katunayake Expressway, Sri Lanka. Proceedings of the 40th International Symposium on Forecasting.
23. Basnayake, B.R.P.M. and Chandrasekara, N.V. (2020). Predicting tourist arrivals in Sri Lanka: A comparison of Time series models and Time delay Neural Networks. Proceedings of the 40th International Symposium on Forecasting.
24. Hakmanage N. M., Chandrasekara N.V. and Jayasundara D.D.M. (2020). Early Recognition of Rainfall to Plan and Manage the Cultivation – A Forecasting model using Artificial Neural Networks for Dompe Divisional Secretariat in Gampaha District, Sri Lanka. Proceedings of the 32nd PGIA (Post Graduate Institute of Agriculture) Annual Congress, 32.
25. Kushan, M.A.K. and Chandrasekara, N.V. (2020). Identification of factors and classifying the accident severity in Colombo - Katunayake expressway, Sri Lanka using Multinominal Logistic Regression. Proceedings of the International Conference on Applied and Pure Sciences (ICAPS) 2020, University of Kelaniya, 37.
26. Basnayake, B.R.P.M. and Chandrasekara, N.V. (2020). Tourist volume forecasting: An approach with supervised machine learning algorithm. Proceedings of the International Conference on Applied and Pure Sciences (ICAPS) 2020, University of Kelaniya, 79.
27. Hakmanage N. M., Chandrasekara N.V. and Jayasundara D.D.M. (2020). Linear Programming Approach to Assess an Optimal Cultivation Plan – A case study. Proceedings of the International Conference on Applied and Pure Sciences (ICAPS) 2020, University of Kelaniya, 94.
28. Basnayake, B.R.P.M., Hewaarachchi, A.P. and 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 International Research Conference of Uva Wellassa University Sri Lanka, 165.
29. Basnayake, B.R.P.M. and Chandrasekara, N.V. (2020). Prediction of Tourist Arrivals in Sri Lanka: Comparison of Time Series Models. Proceedings of the 13th International Research Conference of Kothalawala Defense University, Sri Lanka, 23.
30. Wickramarathne, R.H.M. and Chandrasekara, N.V. (2020). Forecasting Colombo Open Market Retail Prices of Big Onion Using Feedforward Neural Networks. Proceedings of the 13th International Research Conference of Kothalawala Defense University, Sri Lanka, 25.
31. Wickramarathne, R.H.M. and Chandrasekara, N.V. (2021). Modeling and Forecasting Monthly National Coconut Production in Sri Lanka using Time Series Analysis. Proceedings of the 8th Ruhuna International Science & Technology Conference, 2021, 60.
32. Fernando, W.H.H., Jayalath, P.M.S.C., Premarathne, R.M.S.M. and Chandrasekara, N.V. (2021). Time Series Model to Forecast Monthly Average White Raw Rice Prices in Colombo, Sri Lanka. Proceedings of the 8th Ruhuna International Science & Technology Conference, 2021, 129.
33. Weerakoon, H. L. A., Mendis, G. L. L. Umagiliya, S., K. S., Imbulana, I. D. D. C. and Chandrasekara, N.V. (2021). Modeling open market monthly average retail price of potatoes in Colombo. Proceedings of the International Conference on Applied and Pure Sciences (ICAPS) 2021, University of Kelaniya, 64.
34. Caldera, P. A. D. S. P., Malshika, N. N. D., Nikapitiya, S. H. A. S., Udugedara, U. S. C. B. and Chandrasekara, N.V. (2021). Time series modeling and forecasting of total primary energy consumption in Sri Lanka. Proceedings of the International Conference on Applied and Pure Sciences (ICAPS) 2021, University of Kelaniya, 219.
35. Wijerathne, R.M.D.K. and Chandrasekara, N.V. (2021). Deep Learning approach to predict Brown Plant Hopper incidence on the rice plant with the climate change. Proceedings of the 77th Annual Session of the Sri Lanka Association for Advancement of Science –SLASS, 83.
36. Basnayake, B.R.P.M. and Chandrasekara, N.V. (2022). Probability Distributions in modelling Financial Data: A Literature Review. Proceedings of the International Postgraduate Research Conference (IPRC) 2021, University of Kelaniya, 9.
37. Hakmanage, N. M., Jayasundara, D.D.M and Chandrasekara, N.V. (2022). Optimal Assignment of unusable/waste lands effectively using improved fuzzy assignment technique. Proceedings of the International Postgraduate Research Conference (IPRC) 2021, University of Kelaniya, 10.
38. Basnayake, B.R.P.M. and Chandrasekara, N.V. (2022). Estimating the Empirical Distributions of exchange rates volatility in Sri Lanka. Proceedings of the 9th Ruhuna International Science & Technology Conference (RISTCON) 2021, 49.
39. Basnayake, B. R. P. M. and Chandrasekara, N. V. (2022). Performance of seasonal and double seasonal autoregressive integrated moving average models with ARCH/GARCH in forecasting exchange rates in Sri Lanka. International Conference on Applied and Pure Sciences (ICAPS) 2022, University of Kelaniya, 38.
40. Dilshan, L.H.K., Withanage, N. and Chandrasekara, N. V. (2022). A Study on Factors Affecting Child Sexual Abuse and Recognizing the Severity: Special Reference to Galle District. International Conference on Applied and Pure Sciences (ICAPS) 2022, University of Kelaniya, 39.
41. Jayawardhana, K.J.U.M., Kaushalya, R.A.D., Wijesuriya, H.P.A.D. and Chandrasekara, N. V. (2022). Forecasting Foreign Exchange Reserves in Sri Lanka. International Conference on Applied and Pure Sciences (ICAPS) 2022, University of Kelaniya, 41.
42. Madhuranga, K.W.P.K., Kavinga, H.W.B and Chandrasekara, N.V. (2022). Predicting a top rank batsman in an ODI match, using the first few balls faced: A case study. International Conference on Applied and Pure Sciences (ICAPS) 2022, University of Kelaniya, 44.
43. Wickramarathne, R.A.S.; Mahanama, K.R.T.S.; Wickramanayaka, M.P.A.T.; Mohamed, A.R.W. and Chandrasekara, N.V. (2023). Modeling and forecasting cinnamon export in Sri Lanka. Proceedings of the 11^th YSF Symposium, 14-19.
44. Boteju, P., & Hewapathirana, I. (2021, June). A Case Study in Financial Fraud Detection using Big Data Analytics. In International Conference in Data Science - 2021 (ICDS) (Vol. 1, pp. 7). Center for Data Science, University of Colombo

1. Book - COVID 19: Impact, Mitigation, Opportunities and Building Resilience - Perspectives of global relevance based on research, experience and successes in combating COVID-19 in Sri Lanka, Chapter - Impact of COVID-19 pandemic on education and mental health of physical science undergraduates in the Faculty of Science, University of Kelaniya, Pages- 263 - 273, Publisher: National Science Foundation (NSF), Sri Lanka, ISBN: ISBN 978-624-5896-00-4.