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Mrs. M.M.A. Nisansala

Lecturer (Temporary)

achini@as.rjt.ac.lk
+94252266384

Education

  • 2024
    • M.Sc. in Computer Science-Post Graduate Institute of Science(Reading)
    • GPA: 3.51
  • 2015 – 2019
    • B.Sc Special in Information and Communication Technology – Vavuniya Campus of the University of Jaffna
    • GPA: 3.57 with 2nd Class Upper Division

Professional Qualification

  • Professional certificate course in Data Engineering – University of Peradeniya
  • Professional certificate course in cybersecurity( Level I-IV) – Coursera

Research Interests

  • Artificial Intelligence
  • Computer Vision
  • Large Language Models

Teaching Courses

  • COM3306 – Operating Systems
  • ICT1308 – Operating Systems
  • COM3303 – Artificial Intelligence
  • ICT2207- Management Information Systems

Appointments

  • Rajarata University:
    • Temporary Lecturer, Department of Computing, Faculty of Applied Sciences, August 2023 – Present
  • University of Vavuniya:
    • Temporary Lecturer, Faculty of Technological Studies, January 2022 – August 2023
    • Temporary Lecturer, Department of Physical Sciences, Faculty of Applied sciences, October 2020 – January 2021
    • Demonstrator, Department of Physical Sciences, Faculty of Applied Sciences, May 2019 – September 2020

Researches and Projects

  • Supervising third year under graduate research projects (2024):
    • Resume/CV Based Job Recommendation System
    • Learning English through video games
    • Developing a smart mirror with a human emotion recognition system

Publications

Conference Papers

  • A. Nisansala and R. Puvnendran, “Canine Sleeping Posture Identification using Transfer Learning,” 2023 International Research Conference on Smart Computing and Systems Engineering (SCSE), Kelaniya, Sri Lanka, 2023, pp. 1-7, doi:10.1109/SCSE59836.2023.10215030.
  • M. M. A. Nisansala and R. Puvanendran, “Convolutional Neural Network Combining Image Augmentation and Regularization Techniques for Retinal Detachment Prediction,” 2023 2nd International Conference on Futuristic Technologies (INCOFT), Belagavi, Karnataka, India, 2023, pp. 1-6, doi: 10.1109/INCOFT60753.2023.10425445.-INCOFT2023-IEEE Bangalore section.

Abstracts

  • Analyzing the performance of Machine Learning algorithms for effective classification of Breast cancer- IntSym 2023, Eastern University of Sri Lanka. http://ir.lib.seu.ac.lk/handle/123456789/6819
  • Effective classification of breast cancer using outlier removal methods and traditional machine learning algorithms-OURS 2023 , Open University of Sri Lanka.