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

Ms. S. Subaramya

B.Sc. (Hons) in Computer Science (Jaffna, SL), M.Sc. in Computer Science (Peradeniya, SL), M.Phil. (Peradeniya, SL)

Senior Lecturer Gr II

subaramya@vau.ac.lk

Graph Theory, Medical Imaging, Deep Learning

  

Academic Records
  • M.Phil. in Computer Science (PGIS, University of Peradeniya)
  • M.Sc. in Computer Science (PGIS, University of Peradeniya)
  • B.Sc. (Hons) in Computer Science (Vavuniya Campus of the University of Jaffna)
Admin Roles
  • Ex-co Member, Vavuniya Campus Teachers Association, 2018.
  • Member, Vavuniya Campus International Research Symposium, 2017 and 2019.
  • Member, Vavuniya Campus Newsletter, 2016 and 2017.
  • Member, Vanni Career Fair, Vavuniya Campus, 2016 and 2017.
  • Student Counselor, Faculty of Applied Science, 2016.

Previous Positions

  • Temporary Lecturer (On contract) (2014-2015), Department of Physical Science, Faculty of Applied Science, Vavuniya Campus of the University of Jaffna
  • Tutor (On contract) (2013-2014), Department of Physical Science, Faculty of Applied Science, Vavuniya Campus of the University of Jaffna
Activities
Teaching
  • Graph Theory
  • Image Processing
  • Deep Learning
  • Computer Programming
Publications

Journal

Conferences

  • Subaramya S, Kokul T, Nagulan R, A. Pinidiyaarachchi U.A.J, Jeyasuthan M. “Detection of Alzheimer’s Disease Using Structural Brain Network and Convolutional Neural Network”, IEEE 10th International Conference on Information & Automation for Sustainability (ICIAFS), Colombo, Sri Lanka. 2021.
  • Vinayakavaseekaran S, Perera AAI, Ratnarajah N. “Group Graph Measures of Brain Networks: New Concepts and Definitions”, Postgraduate Institute of Science Research Congress 2018, University of Peradeniya, p. 45.
  • Subaramya V, “Rubik’s Revenge Application Tool”, 6th International Symposium 2016, South Eastern University of Sri Lanka, pp 326 -329.
  • Subaramya V, Krishnakumar S, “Algorithm Aspects of Rubik’s Cube 3D Game”, Proceeding of Annual Academic Sessions 2013, The Open University of Sri Lanka, pp.155-158.

International Conferences

  • Subaramya, S., Nagulan, R., Kokul, T., A., Pinidiyaarachchi, U.A.J., “Exploring Asymmetrical White Matter Abnormalities in Alzheimer’s Using Deep Learning” IEEE 9th International Conference on Moratuwa Engineering Research Conference 2023 (MERCon 2023), Sri Lanka, November 2023.
  • Subaramya, S., Kokul, T., Nagulan, R., A., Pinidiyaarachchi, U.A.J., “Graph Neural Network based Alzheimer’s Disease Classification using Structural Brain Network” IEEE 22nd International Conference on Advances in ICT for Emerging Regions (ICTer), Sri Lanka, December 2022.
  • Subaramya, S., Kokul, T., Nagulan, R., A., Pinidiyaarachchi, U.A.J., Jeyasuthan, M,. “Detection of Alzheimer’s Disease Using Structural Brain Network and Convolutional Neural Network” IEEE 10th International Conference on Information & Automation for Sustainability (ICIAFS), pp. 173-178, Sri Lanka. 2021.

Abstracts

  • Subaramya, S., Nagulan, R., Kokul, T., Pinidiyaarachchi, U.A.J., “Classification and Analysis of Alzheimer’s Disease Using Deep Learning on Neuroimaging Data” In Proceedings of the Peradeniya University Research Excellence Showcase (PURES), University of Peradeniya, 2023.
  • Subaramya, S., Kokul, T., Nagulan, R., A., Pinidiyaarachchi, U.A.J., “Deep Learning Based Detection and Analysis of Alzheimer’s on Structural Connectomes” In Proceedings of the Postgraduate Institute of Science Research Congress (RESCON), University of Peradeniya, 2022.
Awards