Prof. Amithirigala Widhanelage Jayawardena

Department of Civil Engineering

The University of Hong Kong, China

Adjunct Professor

Department of Civil Engineering

Chu Hai College of Higher Education-Hong Kong, China

Visiting Professor

E-mail: [email protected]

Qualifications

Ph.D., University of London, UK

Publications (Selected)

1. Di, C. L., Wang, T. J., Istanbulluoglu, E., et al. (2019). Deterministic chaotic dynamics in soil moisture across Nebraska. Journal of Hydrology, 578, Article 124048.
2. Papacharalampous, G., Tyralis, H., Langousis, A., et al. (2019). Probabilistic Hydrological Post-Processing at Scale: Why and How to Apply Machine-Learning Quantile Regression Algorithms. Water, 11(10), Article 2126.
3. Badrzadeh, H., Sarukkalige, R., & Jayawardena, A. W. (2018). Intermittent stream flow forecasting and modelling with hybrid wavelet neuro-fuzzy model. Hydrology Research, 49(1), 27-40.
4. Badrzadeh, H., Sarukkalige, R., & Jayawardena, A. W. (2016). Improving Ann-Based Short-Term and Long-Term Seasonal River Flow Forecasting with Signal Processing Techniques. River Research and Applications, 32(3), 245-256.
5. Zhang, S. L., Yang, H. B., Yang, D. W., et al. (2016). Quantifying the effect of vegetation change on the regional water balance within the Budyko framework. Geophysical Research Letters, 43(3), 1140-1148.
6. Zhang, S. L., Yang, D. W., Jayawardena, A. W., et al. (2016). Hydrological change driven by human activities and climate variation and its spatial variability in Huaihe Basin, China. Hydrological Sciences Journal-Journal des Sciences Hydrologiques, 61(8), 1370-1382.
7. Badrzadeh, H., Sarukkalige, R., & Jayawardena, A. W. (2015). Hourly runoff forecasting for flood risk management: Application of various computational intelligence models. Journal of Hydrology, 529, 1633-1643.
8. Jayawardena, A. W. (2015). Climate change - Is it the cause or the effect?. KSCE Journal of Civil Engineering, 19(2), 359-365.
9. Jayawardena, A. W., Perera, E. D. P., Zhu, B., et al. (2014). A comparative study of fuzzy logic systems approach for river discharge prediction. Journal of Hydrology, 514, 85-101.
10. Biswas, R. K., & Jayawardena, A. W. (2014). WATER LEVEL PREDICTION BY ARTIFICIAL NEURAL NETWORK IN A FLASHY TRANSBOUNDARY RIVER OF BANGLADESH. Global Nest Journal, 16(2), 432-444.
11. Badrzadeh, H., Sarukkalige, R., & Jayawardena, A. W. (2013). Impact of multi-resolution analysis of artificial intelligence models inputs on multi-step ahead river flow forecasting. Journal of Hydrology, 507, 75-85.
12. Xu, P. C., Jayawardena, A. W., & Li, W. K. (2013). Model selection for RBF network via generalized degree of freedom. Neurocomputing, 99, 163-171.
13. Xu, P. C., Li, W. K., & Jayawardena, A. W. (2012). NOISE LEVEL ESTIMATION FOR A CHAOTIC TIME SERIES. International Journal of Bifurcation and Chaos, 22(3), Article 1250052.
14. Karunasingha, D. S. K., Jayawardena, A. W., & Li, W. K. (2011). Evolutionary product unit based neural networks for hydrological time series analysis. Journal of Hydroinformatics, 13(4), 825-841.
15. Jayawardena, A. W., Xu, P. C., & Li, W. K. (2010). Modified correlation entropy estimation for a noisy chaotic time series. Chaos, 20(2), Article 023104.
16. Jayawardena, A. W., Xu, P. C., & Li, W. K. (2009). Rainfall data simulation by hidden Markov model and discrete wavelet transformation. Stochastic Environmental Research and Risk Assessment, 23(7), 863-877.
17. Muttil, N., & Jayawardena, A. W. (2008). Shuffled Complex Evolution model calibrating algorithm: enhancing its robustness and efficiency. Hydrological Processes, 22(23), 4628-4638.
18. Jayawardena, A. W., Xu, P. C., & Li, W. K. (2008). A method of estimating the noise level in a chaotic time series. Chaos, 18(2), Article 023115.

Profile Details:

https://climatechangeconferences.org/2025/scientific-committee/amithirigala-widhanelage-jayawardena

https://civ.chuhai.edu.hk/people-2/academicstaff/profile-of-ir-prof-amithirigala-widhanelage-jayawardena/

https://www.researchgate.net/profile/A-Jayawardena/3

WOS ResearchID: GQX-9958-2022