Sidath Liyanage

Sidath R Liyanage graduated from University of Kelaniya with BSc Honours in Statistics and Computer Science in 2005, he completed Master of Philosophy in Computer Engineering from University of Peradeniya in 2009 and received PhD from National University of Singapore in 2013. His research interests are in Brain Computer Interfaces, Data Science and applications of Machine Learning and pattern recognition. He has published over 40 publications.He is the Head of Department and a Senior Lecturer attached to Department of Software Engineering, Faculty of Computing and Technology, University of Kelaniya . He is a member of IEEE and a Council member of Sri Lanka Association for Artificial Intelligence.

Publications

Assessing the Impact of Human Error Assessment on Organization Performance in the Software Industry
Assessing the Impact of Human Error Assessment on Organization Performance in the Software Industry
Shampave Paramanantham, Sidath Liyanage. © 2023. 32 pages.
The influence of human errors on organizations is wide-ranging concerning customer service, productivity, teamwork, quality, execution, decision-making, and loss (Irmi.com...
Three-Layer Stacked Generalization Architecture With Simulated Annealing for Optimum Results in Data Mining
Three-Layer Stacked Generalization Architecture With Simulated Annealing for Optimum Results in Data Mining
K. T. Sanvitha Kasthuriarachchi, Sidath R. Liyanage. © 2021. 27 pages.
The combination of different machine learning models to a single prediction model usually improves the performance of the data analysis. Stacking ensembles are one of such...
Utilizing Educational Data Mining Techniques for Improved Learning: Emerging Research and Opportunities
Utilizing Educational Data Mining Techniques for Improved Learning: Emerging Research and Opportunities
Chintan Bhatt, Priti Srinivas Sajja, Sidath Liyanage. © 2020. 166 pages.
Modern education has increased its reach through ICT tools and techniques. To manage educational data with the help of modern artificial intelligence, data and web mining...
Predicting the Academic Performance of Students Using Utility-Based Data Mining
Predicting the Academic Performance of Students Using Utility-Based Data Mining
Sidath R. Liyanage, K. T. Sanvitha Kasthuriarachchi. © 2020. 30 pages.
Data mining in education has become an important topic in the sphere of influence of data mining. Mining educational data encompasses developing models, plotting data, and...