Research Publications
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publications.listelement.badge Open Access Spatial Modelling of Cyclone-Induced Flood Hazards for Disaster Risk Financing and Parametric Insurance in Sri Lanka(Sri Lanka Institute of Information Technology, 2026-05-21) Pathiraja,S.; Wanniarachchi, S; Weerakoon, K.; Pramudi, L.; Wanigasooriya, D.; Pathirana, A.; Perera, T.; Hettiarachchi, E.; Sayakkara, A.; Goonetillake, J.Cyclone-induced compound hazards present a critical challenge for disaster risk financing (DRF) in South Asia, yet spatially-explicit and probabilistically-calibrated hazard models suitable for parametric insurance applications remain largely absent in Sri Lanka. This work-in-progress paper presents an integrated research protocol for developing and evaluating spatially-informed parametric insurance models for cyclone-related hazards. The framework combines GIS-based Fuzzy Analytic Hierarchy Process (FAHP) multi-hazard mapping, coupled with HEC-RAS 1D/2D hydrological-hydraulic simulation, Monte Carlo Probabilistic Cyclone Hazard Analysis (PCHA), and spatial lag and spatial error econometric modeling. This study focuses on five cyclone-affected districts of Sri Lanka, with Kurunegala serving as the primary analytical case study, which collectively displaced more than 95,000 people during Cyclone Ditwa (Nov–Dec 2025). This study will produce Grama Niladhari (GN)-division-level flood inundation maps, probabilistic wind speed and rainfall exceedance surfaces for return-period pricing, empirical basis risk hotspot maps, and Willingness-to-Pay (WTP) estimates. Findings will directly inform parametric trigger design, actuarial premium calibration, and sovereign disaster risk financing strategies for climate-vulnerable developing countries.Publication Embargo SalFix: Solutions for Small Businesses Using Artificial Intelligence and Machine Learning(2021 3rd International Conference on Advancements in Computing (ICAC), SLIIT, 2021-12-09) Perera, T.; Kuganandamurthy, L.; Ameen, T.; Dassanayake, T.; Ganegoda, D.Every large organization was a small business before. There are many businesses starting every day. Most of them are small businesses. Managing a business is always a challenge. The owners face lots of challenges when they engage with a business. Small business owners do not have enough knowledge about advertising or promoting a product. New owners do not know the trendiest product at present, and they need to know to sell which product to be profitable. L ack o f communication with the customers will impact the customer base. These are the main problems that owners face. By introducing SalFix, these challenges can be conquered. SalFix is a web application that is suitable for current owners and new owners. SalFix uses Artificial I ntelligence t o g enerate a utomated a d i mages, predict what will happen to the business next year, predict which product is the trendiest. To improve customer communication, SalFix is embedded with a chatbot plugin that can be integrated into the small business’s website. SalFix can perform a SWOT analysis as well. Owners can use SalFix to fix t heir s ales and boost their income. SalFix is a yearly subscription service and will provide more accurate results.