Profile Brief
Ms. Tuvensha Jegatheeswaran is currently serving as a Lecturer (Probationary) in the Department of Information and Communication Technology, Faculty of Technological Studies, University of Vavuniya, Sri Lanka. She has one year of prior teaching experience as a Temporary Assistant Lecturer and Temporary Demonstrator. She holds a Bachelor of Science (Honours) in Computer Science from the University of Jaffna, Sri Lanka, and is currently pursuing a Master of Science in Data Science and AI at University of Peradeniya. She is an emerging researcher in the fields of Medical Imaging, Data Science, and Artificial Intelligence. Her research focuses on leveraging AI and data-driven techniques to address real-world challenges in the medical domain.
Educational Qualifications
- B.Sc. [Hons] in Computer Science (University of Jaffna)
- M.Sc. in Data Science & Artificial Intelligence (Reading)
Previous Academic Positions
- Temporary Assistant Lecturer, Department of Physical Science, Faculty of Applied Science, University of Vavuniya, August 2024 – April 2025.
- Temporary Demonstrator, Department of Physical Science, Faculty of Applied Science, University of Vavuniya, Nov 2023 – August 2024.
Institutional Development Activities
- Participated in preparing for the Final Version of Diploma course, Department of ICT, Faculty of Technological Studies
Publication in International Conference
- T. Jegatheeswaran, L. Kumaralingam, S. Selvarajah, and N. Ratnarajah, “Explainable Hybrid CNN Swin-Transformer Net work for Tuberculosis Diagnosis in Chest X-Rays of Sri Lankan Patients,” IEEE, 4th International Conference on Advanced Research in Computing (ICARC), Sri Lanka, 2024, pp. 85-90. DOI: 10.1109/ICARC61713.2024.10499756.
- S. Janany, L. Kumaralingam, T. Jegatheeswaran, S. Srivishagan, T. Kokul, and N. Ratnarajah, “Classification of Alzheimer’s Disease Stages using Weighted Brain Connectivity based Graph Convolutional Neural Network,” IEEE 5th International Conference on Advanced Research in Computing (ICARC).
- S.Pavithira, L. Kumaralingam, T. Jegatheeswaran, S. Srivishagan, T. Kokul, and N. Ratnarajah, “Functional Biomarkers of Alzheimer’s Disease: Explainable AI using Resting-State fMRI,” IEEE 5th International Conference on Advanced Research in Computing (ICARC).
Abstract Publication
- T. Jegatheeswaran,S. Selvarajah “Enhancing Tuberculosis Diagnosis in Sri Lanka: A Deep Learning Approach with Chest X-Ray Images.” 4th Faculty Annual Research Session-Annual Research Congress, University of Vavuniya, FARS, 2023 .
- S.Pavithira, T.Jegatheeswran “Early Detection and Explainable Analysis of Alzheimer’s Disease Using Resting-State fMRI and Convolutional Neural Networks” 5th Faculty Annual Research Session-Annual Research Congress, University of Vavuniya, FARS, 2024.
- S.Janany, T.Jegatheeswran “Classification of Alzheimer’s Disease Stages Using Graph Neural Network and Structural Brain Network” 5th Faculty Annual Research Session-Annual Research Congress, University of Vavuniya, FARS, 2024.
Teaching Interest
- Artificial Intelligence
- Fundamentals of Computer Programming
- Object Oriented Programming
- Machine Learning
- Digital Image Processing
- Database Management System
- Computer Graphics
- Data Structures
- Cryptography
Undergraduate Subjects Taught
- TICT 2212 – Operational Research
- TICT 2252 – System Analysis and Design
- AUX1212 – Social Harmony