+94 24 222 0269 | headphy@vau.ac.lk

Staff Profile

Mr. Vasanthan Athiththan

Lecture (Probationary)

athiththanv@vau.ac.lk

Academic Records
  1. B.Sc (hons) In Information Technology (Jaffna , SL)
Admin Roles
  • Member, Faculty of Applied Science, Network Infrastructure Monitoring Committee, 2026
  • Member, Faculty of Applied Science, Alumni Association 2026.
  • Temporary Assistant Lecturer, Department of Physical Science, Faculty of Applied Science, 2025
Activities
Teaching
  1. Fundamentals of Programming
  2. Visual Programming
  3. Management Information Systems
  4. Web Services and Server Technologies
  5. Mobile Communication and Computing
  6. Software Quality Assurance
  7. Ecommerce
  8. Multimedia Computing

 

Publications
  1. Athiththan, V. and Ramanan, Y.R. (2025) Credit card fraud detection using homomorphic encryption and unsupervised attentional anomaly detection network. In: Proceedings of the SCSE 2025, University of Kelaniya, Sri Lanka, 3 April 2025. IEEE.
  2. Athiththan, V., Kirishnathas, S., Thangarajah, P., Francis, R.C. and Sribalane, A.D. (2025) Adaptive meta-learning with reinforcement-guided task weighting in an enhanced Reptile framework. In: Proceedings of the SICET 2025, Sri Lanka Institute of Information Technology (SLIIT), Sri Lanka, 10 September 2025. ACM.
  3. Jogasinkam, D., Vasanthan, A., Jegatheeswaran, T., Thanabalasingam, K., Thirunavukkarasu, J. and Ratnarajah, N. (2025) Sri Lankan seagrass families identification using underwater images through image enhancement and deep learning techniques. In: Proceedings of the IEEE 10th International Conference on Information Technology Research (ICITR 2025), Sri Lanka, December 2025.
  4. Francis, R.C., Sribalan, A.D. and Athiththan, V. (2025) A new machine learning approach for in-game behavior analysis of football players based on player statistics. In: Proceedings of the SICET 2025, Sri Lanka Institute of Information Technology (SLIIT), Sri Lanka. ACM.
  5. Diluxshan, J., Keerthanaram, T., Tuvensha, J. and Athiththan, V. (2025) Sri Lankan seagrass family identification using underwater images through image enhancement and deep learning techniques. Abstract presented at the International Conference on Applied Science (ICAS 2025), Faculty of Applied Science, University of Vavuniya, Sri Lanka
Awards