Profile : SUSL

BSC (Hons) Degree in Computing and Information Systems, Sabaragamuwa University of Sri Lanka (First Class - GPA –3.8)

Adeeba graduated with a First Class degree from Sabaragamuwa University of Sri Lanka. She began her career as a Temporary Demonstrator and was later promoted to Temporary Assistant Lecturer on an Assignment Basis at the Faculty of Computing, Sabaragamuwa University of Sri Lanka. Adeeba is currently a lecturer (probationary) at the same faculty.

- Machine learning
- Deep learning
- Sentiment Analysis
- Text Mining
- Artificial Neural Network

- S. Adeeba, B. T. G. S Kumara, and K. Banujan, “The Role of Social Media (Twitter) in Analysing Home Violence Awareness: A Machine Learning Approach,” in International Conference on Smart Computing and Systems Engineering 2023.
- S. Adeeba, B. T. G. S Kumara, and K. Banujan, “Twitter Mining for Detecting Home Violence,” in 3rd international Conference on Advanced Research in Computing - ICARC 2023.
- S. Adeeba, K. Banujan, B. T. G. S. Kumara and S. Prasanth, "A Comparative Study of Machine Learning Algorithms for Predicting Weight Range of Neonate," 2022 International Conference on Decision Aid Sciences and Applications (DASA), Chiangrai, Thailand, 2022, pp. 869-873, doi: 10.1109/DASA54658.2022.9765164.
- S. Adeeba, B. Kuhaneswaran and B. T. G.S. Kumara, "Prediction of Weight Range of Neonate Using Machine Learning Approach," 2022 International Conference on Innovations in Science, Engineering and Technology (ICISET), Chittagong, Bangladesh, 2022, pp. 427-432, doi: 10.1109 ICISET54810.2022.9775840.

- R. Nirubikaa, Adeeba Saleem, Ashansa Wijeratne, Kuhaneswaran Banujan, and B.T.G.S. Kumara, “Machine Learning Based Approach for Software Requirement Classification” 6th International Research Conference of Uva Wellassa University, Sri Lanka (IRCUWU2022).
- S. Adeeba, B. T. G. S Kumara, and K. Banujan, “ Analyzing Home Violence Incidents using Social Media: A Case Study on Twitter” 13th Annual Research Session of the Sabaragamuwa University of Sri Lanka.
- S. Adeeba, B. T. G. S Kumara, and K. Banujan, “Using Twitter Data for Assessing Home Violence During the COVID-19 Pandemic,” in Applied Sciences Undergraduate Research Symposium, 2022.

- S. Adeeba, B. T. G. S Kumara, and K. Banujan, “Detecting Home Violence Related Tweets Using Machine Learning Techniques During the COVID-19,” Recent Advances in Material, Manufacturing, and Machine Learning.
- Ravikumar, N., Kuhaneswaran, B., Saleem, A., Wijeratne, A. K., Kumara, B. T., & Herath, G. A. (2023). Classification of Product Backlog Items in Agile Software Development Using Machine Learning. In B. Holland (Ed.), Handbook of Research on Technological Advances of Library and Information Science in Industry 5.0 (pp. 306-329). IGI Global. https://doi.org/10.4018/978-1-6684- 4755-0.ch016.