• Time Series Modeling and Forecasting
• Data Mining and Machine Learning

• Probability and Statistics
• Complex Analysis and Mathematical Transforms
• Numerical Methods

Peer-reviewed publications

Chapters and Books of Scholarly work published by a recognized publisher

• Kapila Tharanga Rathnayaka, R.M., Seneviratna, D.M.K.N. (2019). A Novel Hybrid Back Propagation Neural Network Approach for Time Series Forecasting Under the Volatility. In: Hemanth, J., Silva, T., Karunananda, A. (eds) Artificial Intelligence. SLAAI-ICAI 2018. Communications in Computer and Information Science (pp. 79-91). Springer, Singapore. https://doi.org/10.1007/978-981-13-9129-3_6

Research publications in refereed journals

Refereed index journals

• Seneviratna, D.M.K.N. & Kapila Tharanga Rathnayaka, R.M. (2022).  Hybrid grey exponential smoothing approach for predicting transmission dynamics of the COVID-19 outbreak in Sri Lanka.  Grey Systems: Theory and Application, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/GS-06-2021-0085
• Kapila Tharanga Rathnayaka, R.M. & Seneviratna, D.M.K.N. (2020). Taylor Series approximation based Unbiased GM (1, 1) Hybrid Statistical Approach for Forecasting Stock Market.  Journal of Grey System, 32(3): 124-133.
• Kapila Tharanga Rathnayaka, R.M. & Seneviratna, D.M.K.N. (2019),” Taylor series approximation and unbiased GM(1,1) based hybrid statistical approach for forecasting daily gold price demands”, Grey Systems: Theory and Application, Vol. 9 Issue: 1, pp.5-18, https://doi.org/10.1108/GS-08-2018-0032
• Kapila Tharanga Rathnayaka, R.M., Seneviratna, D.M.K.N.  & Long, W. (2018) The dynamic relationship between energy consumption and economic growth in China, Energy Sources, Part B: Economics, Planning, and Policy, Taylor and Francis , 13:5, 264-268, DOI: 10.1080/15567249.2015.1084402.
• Kapila Tharanga Rathnayaka, R.M., Seneviratna, D.M.K.N., Jianguo, W. & Hasitha Indika Arumawadu, (2016) “An unbiased GM(1,1)-based new hybrid approach for time series forecasting”, Grey Systems: Theory and Application, Vol. 6 Issue: 3, pp.322-340, doi: 10.1108/GS-04-2016-0009.
• R.M. Kapila Tharanga Rathnayaka, D.M.K.N Seneviratna, Wei Jianguo, (2016) “Grey system based novel forecasting and portfolio mechanism on CSE”, Grey Systems: Theory and Application, Vol. 6 Issue: 2, pp.126-142, doi.org: 10.1108/GS-02-2016-0004.
• R.M. Kapila Tharanga Rathnayaka D.M.K.N Seneviratna Wei Jianguo, (2015),”Grey system based novel approach for stock market forecasting”, Grey Systems: Theory and Application, Vol. 5 Iss 2, pp. 178 – 193, doi: 10.1108/GS-04-2015-0014.
• Rathnayaka, R.M.K.T. & Seneviratna, D.M.K.N., (2018). Impact of macroeconomic variables on stock market returns: a case study of Colombo Stock Exchange, Sri Lanka. Kelaniya Journal of Management. 6, pp.1–12. DOI: http://doi.org/10.4038/kjm.v6i0.7541

Refereed non-index journals

• R.M. Kapila Tharanga Rathnayaka, D.M. K. N. Seneviratna and Wei Jianguo,”Short-term and long-term dynamics between macroeconomic indicators and market fluctuation: A study  of Colombo Stock Exchange, 3 (1), pp.20–27, 2016, Journal of Management Matters, 2016 Faculty of Management Studies, Rajarata University of Sri Lanka.; ISSN 1391-7099.

Peer-reviewed Presentations at National / International Conferences / Symposia

Published as full papers

• D.M.K.N Seneviratne and Rathnayaka, R.M.K.T. (2021). “Grey Exponential Smoothing and Sentiment Classification Approach for Stock Prediction Using Big Data Analytics: A Case Study on Colombo Stock Exchange, Sri Lanka”, International Congress on Grey Systems and Uncertainty Analysis 2021(ICGSUA 2021), Nanjing University of Aeronautics and Astronautics, Nanjing, China, held online on 17th September, 2021.
• D.M.K.N Seneviratne  and R.M. Kapila Tharanga  Rathnayaka “Grey Statistical Approach for Forecasting  Electricity Demand in Sri Lanka”, The 2019 International Congress on Grey Systems and Uncertainty Analysis (GSUA 2019) hosted by Nanjing University of Aeronautics and Astronautics (NUAA), Grand Mercure Bangkok     Fortune in Bangkok, Bangkok, Thailand, August 8-11, 2019.
• R.M. Kapila Tharanga  Rathnayaka and D.M.K.N Seneviratne, “Taylor Series approximation based Unbiased GM(1,1)  Hybrid Statistical Approach for forecasting Stock Market”, The 2019 International Congress on Grey Systems and Uncertainty Analysis (GSUA 2019) hosted by Nanjing University of Aeronautics and Astronautics (NUAA), Grand Mercure Bangkok     Fortune in Bangkok, Bangkok, Thailand, August 8-11, 2019.
• M. Kapila Tharanga Rathnayaka and D. M. K. N Seneviratne, “A Machine Learning Approach to Predicting Market indices: A case study of Colombo Stock Exchange, Sri Lanka”, 8th International Conference on Management and Economics   ( ICME 2019), Faculty of Management and Finance, University of Ruhuna, Sri Lanka, 15th August 2019.
• M. Kapila Tharanga Rathnayaka & D. M. K. N. Seneviratna (2019), Artificial neural network approach for predicting daily price indices in Colombo Stock Exchange, Sri Lanka, 12th International Research Conference, 11th & 12th September, General Sri John Kotelawala Defence University, Colombo, Sri Lanka.
• R.M Kapila Tharanga Rathnayaka, D.M K. N. Seneviratna and  H. I. Arumawadu,  “A Vector Error Correction Modelling Approach to evaluate equilibrium relationships on Colombo Stock Exchange”, 5th   International Conference on Management and Economics, (ICME) University of Ruhuna, Matara, Sri Lanka, 2016, ISBN 978-955-1507-48-0.
• R.M Kapila Tharanga Rathnayaka and D.M K. N. Seneviratna “Factors affecting on exchange rate fluctuation: evidence from Sri Lankan domain in recent past” 7th   International Conference on Management and Economics, (ICME) University of Ruhuna, Matara, Sri Lanka, 2018, ISBN 978-955-1507,  59-6.

Published in abstract form

• Seneviratna D.M.K.N. & Rathnayaka R.M.K.T. Grey Theory Based Approach for Time Series Forecasting, 18th Academic Sessions 2021, University of Ruhuna, Sri Lanka
• H.R.P. Maddushan, S.N. Malkanthi, and D.M.K.N. Senevirathna, Evaluation of critical factors affecting quality of construction projects, Proceedings of 8th International Symposium on Advances in Civil and Environmental Engineering practices for Sustainable Development, Galle, pp 335-342, October 2021
• Fernando B.C.A., Malkanthi S.N. & Seneviratna D.M.K.N.,  Effect of Contractor-Client Relationship To Minimize Construction Delay, Proceedings of the 7th Undergraduate Research Symposium on Recent Advances in Civil Engineering, Faculty of Engineering, University of Ruhuna, Galle, pp 61-62, January 2021
• Lavanraj T., Jayasinghe A.G. & Seneviratna D.M.K.N.,  An Investigation into Differential Characterization of Soils Across CPT Interpretation Schemes, Proceedings of the 7th Undergraduate Research Symposium on Recent Advances in Civil Engineering, Faculty of Engineering, University of Ruhuna, Galle, pp 1-2, January 2018
• D.M.K.N Senaviratna and R.M.K.T Rathnayaka, “ Forecasting performances of hybried ANN-SARIMA , Grey and SARIMA models for monthly rainfall data”, Proceeding of the 74th Annual Sessions – SLAAS 2018, Sri Lanka Association for the Advancement of Science,Sri Lanka.
• Kapila Tharanga Rathnayaka R. M and Seneviratna D.M.K.N and Jianguo W. (2017), Geometric Brownian mortion based hybrid approach for the analysis high volatile financial time series, Proceeding of 4th Ruhuna International Science & Technology Conference ( RISTCON), University of Ruhuna, Matara , Sri Lanka, 26th January, 2017.
• M Kapila Tharanga Rathnayaka and D.M.K.N Seneviratna (2018), A Novel Hybrid Back propagation Neural network Approach for time series Forecasting under the volatility, International Conference on Artificial Intelligence ( SLAAI-ICAI-2018), Sri Lanka Association for Artificial Intelligence , Sri Lanka, 26th January, 2017.
• R.M.K.T Rathnayaka and D.M.K.N Senaviratna, “ Artificial Neural Network and ARIMA based new hybrid statistical approach for stock market predictions”, Proceeding of the 74th Annual Sessions – SLAAS 2018, Sri Lanka Association for the Advancement of Science,Sri Lanka.
• M. K. T. Rathnayaka, and D. M. K. N. Seneviratna, (2018), An investigation of the factors affecting exchange rate fluctuations: A Sri Lankan experience in recent past, 11th International Research Conference, General Sri John Kothalawala Defence University, Rathmalana, Sri Lanka.
• Rathnayaka, R. M. K. T., and Seneviratna, D. M. K. N. (2017). Impact of Macroeconomic Variables on Stock Market Returns: A Case Study of Colombo Stock Exchange, Sri Lanka. 8th International Conference on Business & Information ICBI – 2017, Faculty of Commerce and Management Studies, University of Kelaniya, Sri Lanka. p.06. http://repository.kln.ac.lk/handle/123456789/18309
• M. Kapila Tharanga Rathnayaka, D. M. K. N. Seneviratna, (2017), “Geometric Brownian Motion Based New Hybrid Statistical Approach for Forecasting Time series Data under the Volatility”, 7th Annual Research Session of the Sabaragamuwa University of Sri Lanka.
• R.M. Kapila Tharanga Rathnayaka , D.M.K.N. Seneviratna, “Artificial Neural Network based New Hybrid Approach for Forecasting Electricity Demands in Sri Lanka”, Kelaniya International Conference on Advances in Computing and Technology (KICACT‒2017) Proceedings, 28th July 2017, Kelaniya, Sri Lanka.
• R.M Kapila Tharanga Rathnayaka, D.M.K.N Seneviratna,  and H. I. Arumawadu, “A New  Financial Time series Approach for Volatility Forecasting”, Symposium on Statistical Computational Modelling with Applications 2016 (SymSCMA-2016), Department of Statistics & Computer Science, University of Kelaniya, Sri Lanka., 2016.

• Co-supervisor – EFFECT OF CONTRACTOR-CLIENT RELATIONSHIP TO MINIMIZE CONSTRUCTION DELAY

B.C.A. Fernando, S.N. Malkanthi, D.M.K.N. Senevirathne

Construction delay is a major problem encountered by most construction projects all around the world. There is a strong requirement to identify causes, influencing factors and find applicable measures to minimize the delay up to the most possible extent. This work is directed to investigate the contractor-client relationship, the effect of this relationship on construction delay, and whether it can be positively used to minimize the delay.

Keywords: Contractor-client relationship, Construction delay, Severity index

• Co-Supervisor – EVALUATION OF CRITICAL FACTORS AFFECTING QUALITY OF CONSTRUCTION PROJECTS

Madushan U.H.R.P., S.N. Malkanthi, D.M.K.N. Senevirathne

• Co-supervisor – A CPT BASED COMPARATIVE CHARACTERIZATION OF SUBSURFACE CONDITIONS

Lavanraj T., Anuruddhika G. Jayasinghe, D.M.K.N. Senevirathne

• Co-supervisor – TAXONOMY FORMULATION FOR FACTORS AFFECTING RISKS AND UNCERTAINTIES IN CONSTRUCTION PROJECTS

Madusanka A.G.V., S.N. Malkanthi, D.M.K.N. Senevirathne

• Member of Research and Development Committee, Institute of Applied Statistics (IASSL), Sri Lanka, 2021/2022
• Chief Examiner – G.C.E (A/L) – Combined Mathematics (2015 – 2020)
• Academic Sub-warden (2015-2016)
• Academic Warden (Female) – (2017-2020)
• Faculty Coordinator of the 14th Academic Sessions and 13th Vice Chancellor`s Awards Ceremony, 01st March 2017, University of Ruhuna.
• Academic Advisor, Department of Interdisciplinary Studies, Faculty of Engineering (2016 to date)
• Member of the ICT Committee (2017-2020)
• Member of the Faculty Quality Assurance Cell (2017-2020)
• Member of Technical Evaluation Committee (2019, 2020)
• Reviewer of several International and Local Conferences (2018 to date)
• Member of the Hostel and Canteen Committee (2016 to 2020)
• Member of the Security Committee (2017 to 2020)
• Faculty Coordinator – Dancing and Literature Competition (2017)
• Member of the Orator Competition Committee (2018)
• Member of the SER Writing Committee (2020)
• Member of the Souvenir and Printing Committee – Sri Lanka University Games 2019

Professional Development Activities

• Participant for the Certification Course for Professional Development in Higher Education which is a requirement for university teachers conducted by University of Ruhuna, Sri Lanka-2012

Memberships

• Life Member, Sri Lanka Association for Advancement of Science (SLAAS), (Membership Number: / E1)
• Life Member, Institute of Applied Statistics (IASSL), Sri Lanka, (Membership Number: 451)

• Outstanding student of the year – 2012/2013
• Outstanding student of the year – 2013/2014
• Outstanding Graduate Student of the year – 2014/2015