The Synergy Research Group is dedicated to applying the body of knowledge in computer science to solve problems across various domains, including Medicine, Education, Agriculture, and Environmental Sciences. Our focus lies in key areas such as Machine Learning, Data Analytics, Data Visualization, Human-Computer Interaction, Technology for Development, and Learning Analytics.

Our research endeavors encompass two primary approaches:

Firstly, we intend to develop software tools tailored to address challenges in various domains and bolster their operational efficiency. This involves conducting surveys and interviews with domain experts and stakeholders to pinpoint prevalent issues and outline how software solutions can optimize their working environments. Subsequently, we identify requisite features for these tools, followed by the design and implementation phases employing the Design Science research methodology. Lastly, we evaluate the efficacy of the developed tools in real-world settings.

Secondly, we aim to leverage machine learning, data analytics, and information visualizations to discern underlying problems, patterns, and trends within diverse domains. Through this approach, we seek to extract valuable insights from data to inform decision-making processes and drive innovation across multiple sectors.

Completed Projects

• Optimizing headcount decisions in the apparel industry: Leveraging Predictive Analytics and Machine Learning

Ongoing Projects

• Classification of Learners’ Attention Based on Facial Temperature

Principal Investigator

• Mr. Rangana Jayashanka – B.Sc. (Hons)(Col), MIEEE (Lecturer)

Research Team

• Dr. Kasun Karunanayaka – PhD (NUS), BSc (Hons) IT (Moratuwa) (Senior Lecturer)
• Mr. Upul Anuradha – B.Sc. (Hons) (Col), M.Sc. in CS (Col), CTHE (Col), SEDA (UK) (Lecturer)