BSc Eng. (Hons) (Moratuwa)
Keywords: Machine Learning / Deep Learning | Natural Language Processing | Sinhala |
Conference Papers
Himath Dhanapala, Haren Daishika, Himandhi Kuruppu, Sithija Seneviratne, Ashini Kavindya, Patalee Narasinghe, Sandeepa Weerasekara, Nisansa de Silva, and Sandareka Wickramanayake, "Trilingual Topic Modeling of Sri Lankan Parliamentary Debates", in 2026 Moratuwa Engineering Research Conference (MERCon), 2026, pp. 389-394. doi: 10.1109/MERCon71835.2026.11691324
Tharusha Perera, Janith Mahanama, Maleesha Kumarasinghe, Bimsara Udurawana, Praveen Nawarathna, Patalee Narasinghe, Nathali Athukorala, Sandareka Wickramanayake, and Nisansa de Silva, "The Effect of Search Intent Data on Predicting Post-Crisis Daily Tourist Arrivals in Sri Lanka", in 2026 Moratuwa Engineering Research Conference (MERCon), 2026, pp. 395-400. doi: 10.1109/MERCon71835.2026.11691456
Ruzaini Ahmedh, Yohan Jayasinghe, Tharumini Gamage, Ifaz Ikram, Hasini Lawanya, Nirasha Munasinghe, Patalee Narasinghe, Nisansa de Silva, and Sandareka Wickramanayake, "Monsoon Mayhem to Market Waves: Forecasting Fisheries Resilience in Sri Lanka", in 2026 Moratuwa Engineering Research Conference (MERCon), 2026, pp. 401-406. doi: 10.1109/MERCon71835.2026.11691272
Hesandi Mallawarachchi, Senilka Madurapperumage, Nadil Kulathunge, Thilokya Angeesa, Nethsith Gunaweera, Sandeepa Weerasekara, Patalee Narasinghe, Nisansa de Silva, and Sandareka Wickramanayake, "Forecasting Weather-Driven Price Dynamics Across Sri Lankan Tea Market Catalogues", in 2026 Moratuwa Engineering Research Conference (MERCon), 2026, pp. 431-436. doi: 10.1109/MERCon71835.2026.11691572
Ramanaish Abaiyan, Ruththiragayan Sutharsan, Kusal Amantha, Anusan Krishnathas, Asma Rauff, Kovindarajah Sriyathurshan, Patalee Narasinghe, Nirasha Munasinghe, Nisansa de Silva, and Sandareka Wickramanayake, "Fault of Our Stars: Behavioral Drivers of Rating-Sentiment Incongruence", in 2026 Moratuwa Engineering Research Conference (MERCon), 2026, pp. 443-448. doi: 10.1109/MERCon71835.2026.11691426
ActivePI: Nisansa de Silva
The Foundational Data Science project investigates how systematic data acquisition, integration, analysis, modelling, and visualisation can be applied to real-world problems to generate reliable and actionable knowledge.
ActivePI: Nisansa de Silva
This project delves into the synergy between Natural Language Processing (NLP) and the legal domain, presenting novel solutions to enduring challenges.
