Staff Profile

• Reviewer, Faculty Annual Research Session, FARS 2021
• Coordinator, Auxiliary Course Units, Faculty of Applied Science, 2021
• Member, IQAC, Faculty of Applied Science, 2021
• Member, Inquiry Committee, University of Vavuniya, 2021
• Member, Faculty Annual Research Session, FARS 2020
• Member, Wellbeing committee, 2020 to date
• Member, Covid 19 Responsible committee, 2020 to date
• Member, Board of Faculty of Applied Science, 2019
• Member, Program Review, 2019 to date
• Student Counselor, Faculty of Applied Science, 2010/2011
• Academic Tutor, Department of Physical Science, 2010/2011

• Professional Certificate
  • Certificate in Teaching Higher Education, University of Jaffna, Sri Lanka, 2010
• Resource Person
  • Resource Person to Cultural Food Festival at Faculty of Livestock, Fisheries & Nutrition, Wayamba University of Sri Lanka. 2010.
• Workshops and Short Courses Participated
  • 5thNational workshop on “Scientific Writing” organized by Postgraduate Institute of Science, University of Peradeniya in 2013.

Undergraduate teaching

• ICT1142 – Object-Oriented Program Design
• ICT1213 & IT2114 – Data Structures
• IT1232 – Project Management
• ICT2143 – Computer Graphics and Image Processing
• ICT2133 – Software Engineering
• ICT2243 – Computer Graphics
• ICT3142 – Human-Computer Interaction
• ICT3133 – Project
• IT3162 – Group Project
• ICT3222 – Internet Security
• ICT3242 – Internet Computing
• COS3113 – Software Engineering
• COS3213 – Internet Programing
• ICT4152 – E-Commerce
• SCOS4143 – Object-Oriented Analysis and Design
  

Interfaculty Teaching  

• Visiting Lecturer @ Faculty of Technological Studies
• TICT 3153 – Human-Computer Interaction

1. Dilaksan Thirugnanaselvam., R., Thilakanathan. S., “Developing a Fine-Tuned Solution for Solving Numerical Linear Algebra Problems Using Large Language Models”, In 6th International Conference on Advanced Research in Computing (ICARC 2026), pp , 18 – 19 Feb, 2026.(Accepted).

2. Viethushaa , Yasotha. R., “Dimensional Human Emotion Recognition Using Facial landmarks and Electrocardiogram Data”, In 6th International Conference on Advanced Research in Computing (ICARC 2026), pp , 18 – 19 Feb, 2026.  (Accepted) .

3. R.P.D.Bandara, A.V. Ann Sinthusha,  Yasotha. R, “Leveraging Natural Language Processing for a Centralized Digital Hub to Automate Traffic Law Enforcement and Fine Management in Sri Lanka”, International Conference on Applied Sciences (ICAS 2025), 16 October 2025.

4. Sangeerthanan, S., Yasotha, R.: ‘’Optimizing the Naïve String-Matching Algorithm using Parallel Processing”, In 1st International Conference on Applied Sciences (ICAS), 16 October 2025.

5. Yasotha, R., Sadakshini, K., Ann Sinthusah, A.V.: “Enhancing Named Entity Recognition for Email Text using Domain-Specific Tags”, In 4th International Conference on Engineering and Technology (SICET), IEEE, 11 September 2025.

6. Athiththan, V., and Yasotha, R.: “Credit Card Fraud Detection Using Homomorphic Encryption Based on Unsupervised Anomaly Detection Network”, In International Research Conference on Smart Computing and Systems Engineering (SCSE), (pp. 1-6), IEEE, April 2025.

7. Vinusha, C., Ramanan, M., Yasotha, R.: “A Hybrid CNN-HOG Based Feature Extraction Approach for Tamil Handwritten Village Name Recognition Using SVM”, In Ruhuna International Science and Technology Conference (RISTCON), pp 75, 22 January, 2025.

8. Kaluarachchi, N.C.N., Pratheeba, J., and Yasotha, R.: “Omic Data in Identification of Covid-19 Vaccinated Individuals”, In Faculty Annual Research Session (FARS), 33, 30 October 2024.

9. Sweshthika, S., and Yasotha, R.: “A Comprehensive Study of Hate Speech Detection in Child Abuse-Related YouTube Comments: Insights from Traditional and Deep Learning Approaches”, In Faculty Annual Research Session (FARS), pp. 25, 30 October 2024.

10. Nemitha, R., Ramanan, M. and Yasotha, R.: “A hybrid CNN-SVM model for Tamil Handwritten Character, In Ruhuna International Science and Technology Conference (RISTCON), pp 61, 24 January, 2024.

11. Pirakasini, M., Yasotha, R.: “Sentiment Analysis for Sri Lankan Newspaper Headlines Using Machine Learning and Deep Learning Methods”, In Faculty Annual Research Session (FARS), pp 29, October2023.

12. Keerththana, K., Charles, E.Y.A., Yasotha, R.: “Spam Email Classification and Identification”, In Faculty Annual Research Session (FARS), pp 32, October2023.

13. Shakana, M., Vinoharan, V., and Yasotha, R.: “Indian Hand Gestures Recognition Using CNN”, In Sri Lanka Student Workshop on Computer Science (SL-SWCS), December 2023.

14. Yasotha, R., Ahamed Rikas, H., Fathima Nuska, M.I., Fathima Shanas, M.A., and Sharfana, A.F.: “Detection of Fake News on Twitter Regarding COVID-19: An Analysis of Machine Learning Algorithms with n-gram Modeling”, In Sri Lankan Journal of Technology (SLJoT), 2022, pp. 32-38, ISSN 2773-6970.

15. Upeksha, L., and Yasotha, R.: “Benchmarking performance of text classifiers for imbalanced data”, In Faculty Annual Research Session (FARS), 15 September, 2021.

16. Jayasundara, M.H.E.U., and Yasotha, R.: “Comparing similarity between the title and the content of news articles using deep learning”, In Faculty Annual Research Session (FARS)”, December 2020.

17. Yasotha, R., and Ram Ramanan. L.: “Challenges in implementing ERP system in small medium manufacturing companies in Sri Lanka”, Kalaniya International Conference on Advanced in Computing and Technology (KICACT 17), 28th July 2017.

18. Yasotha, R., and Charles, E.Y.A.: “Automated Text Document Categorization”, Seventh IEEE International Conference on Intelligent Computing and Information Systems (ICICIS), pp. 522-528, Cairo, Egypt, 12-14 December 2015.
19. Yasotha, R., and Charles, E.Y.A., “Multiclass Multi-Level Text Document Classification”, Sri Lanka Student Workshop on Computer Science (SL-SWCS’15), 07 November 2015.