The Department has a strong research focus, with ongoing projects spanning diverse domains including climate change and natural disasters, quantitative finance, development and labour economics, and health and education analytics. Students have the ability to participate in these projects and many of our final-year undergraduate students have had the opportunity to present and publish their work in conferences.
Links to selected full-paper publications from indexed conferences by undergraduate research groups are provided here.
Behaviour analytics
Development economics
Education analytics
- Navigating Free Online IT Courses: A Study of Completion in open.uom.lk
- Slow and Steady or Fast and Furious: An Analysis of Completion Duration in open.uom.lk
- Online teaching and Learning post-Covid: An Analysis of LMS Usage and Student Outcomes Following the Pandemic
Financial analytics
- Application of different portfolio optimization methodologies under sudden market movements: Sri Lankan context
- Comparative Analysis between Supervised Machine Learning and Time Series Models for stock price prediction
- Comparison of the Applicability of Different Portfolio Optimization Models across Three Emerging Markets under Different Market Conditions
- An Active Index for the Sri Lankan Stock Market: a better reflective alternative index
Health analytics
- Analyzing the Dynamics of Drug Pricing in the Pharmaceutical Industry of Sri Lanka
- Determinants of Private Channeling Fees of Cardiologists in Sri Lanka
- A Comparative Analysis of Machine Learning Algorithms to Predict Dengue Shock Syndrome
Sustainability, technology, energy
- Geospatial Impact Analytics of Hydrometeorological Hazards: A Study on Urban and Suburban Floods in Sri Lanka using Online Textual Data
- Evaluating Sri Lankan Regional Electricity Demand During COVID-19 Restrictions Using VIIRS Nighttime Light Intensity: An Image-Based Statistical Analysis
- Illuminating Solar Potential: A Real-Time Deep Learning, IoT, and Image Processing Approach to Ground-Based Cloud Movement Forecasting for Enhanced Solar Energy Management
- Geospatial Predictive Analytics Model for Urban Impervious Surface Detection: A study on North Central Province, Sri Lanka