supunG

Mr. Supun Gajendrasinghe

Temporary Lecturer

Contact

Profile

Supun Gajendrasinghe is a postgraduate student in Computer Science with an academic background in Instrumentation and Automation. He has obtained his Bachelor’s degree in Instrumentation and Automation from the University of Colombo and is currently pursuing his Master’s degree in Computer Science at University of Sri Jayewardenepura.

Research Interests

  • Internet of Things (IoT)
  • Embedded Systems & Embedded Vision
  • Robotics & Automotive Computing
  • Industrial Automation
  • Computer System Architecture
  • ASICs (Application Specific Integrated Circuits)

Journal Publications

  1.  Basnayake, R.N.I. and Gajendrasinghe, G.M.S.C., 2026. Human-In-The-Loop AI for Precision Agriculture: Scoping Review. International Journal of Latest Technology in Engineering, Management & Applied Science, 15(2), pp.712–719. Available at: https://doi.org/10.51583/IJLTEMAS.2026.15020000061
  2. Gajendrasinghe, G.M.S.C. and Perera, M.D.R., 2026. Concept Paper on Design and Optimization of Energy-efficient Architectures for Edge Computing. International Journal of Latest Technology in Engineering, Management & Applied Science, 15(2). Available at: https://doi.org/10.51583/IJLTEMAS.2026.15020000068
  3. Basnayake, R.N.I., Gajendrasinghe, G.M.S.C. and Dissanayake, C., 2026. Integrating Artificial Intelligence with Plant Electrophysiology for Early Stress Diagnosis: A Scoping Review. International Journal of Research and Scientific Innovation (IJRSI), 12(13), pp.194–201. Available at: https://doi.org/10.51244/IJRSI.2025.1213CS001

Conference (Abstract) Publications

  1. Gunarathna, H., Jayamanne, J., Silva, E., Roshan, K., Shafraz, M. and Gajendrasinghe, G.M.S.C., 2025. NOTESNAP – AI powered Chrome extension for web-based note-taking and summarization. NSBM Student Research Symposium on Innovative Technology, p.38.
  2. Gajendrasinghe, G.M.S.C., Abeysiri, K.M.S.D., Rathnayake, I.M. and Atapattu, H.Y.R., 2023. Deep learning driven mobile robot to detect and classify tomato leaf diseases. Proceedings of the International Conference on Applied and Pure Sciences (ICAPS), University of Kelaniya, Sri Lanka.

On-Going Research

  1. Machine Learning-Based Short-Term Load Forecasting for Frequency Stabilization in Sri AI-Based Load Forecasting for Sri Lankan Evening Peak Stabilization Lanka’s Power Grid