Mr. S Nimishan

Mr. S.Nimishan completed his B.Sc in Computer Science Degree from the University of Jaffna [2016], PG Diploma in the University of Colombo School of Computing (UCSC) [2022] and currently, he is in-reading for the PhD in the University of Peradeniya. He worked as an Assistant Lecturer from 2017 to 2019 at the University of Jaffna and the University of Colombo School of Computing. Currently, he is attached to the Centre for Computer Studies, Sabaragamuwa University of Sri Lanka.

IEEE Graduate Student Member (No. 93714336)

ACM Professional Member (No. 8336811)

Associate Member: Computer Society of Sri Lanka (CSSL) (No. A722)

1. George, R., Thuseethan, S., Ragel, R.G., Mahendrakumaran, K., Nimishan, S., Wimalasooriya, C. and Alazab, M., 2025. Past, present and future of deep plant leaf disease recognition: A survey. Computers and Electronics in Agriculture, 234, p.110128. [Link]
2. Nishankar, S., Pavindran, V., Mithuran, T., Nimishan, S., Thuseethan, S. and Sebastian, Y., 2025. ViT-RoT: Vision Transformer-Based Robust Framework for Tomato Leaf Disease Recognition. AgriEngineering, 7(6), p.185. [Link]
3. S. Nimishan, S. Thuseethan, S. Vasanthapriyan, R. G. Ragel and R. George, "Robustness of Lightweight Neural Networks for EEG-Based Emotion Recognition," in IEEE Access, vol. 14, pp. 96497-96511, 2026, doi: 10.1109/ACCESS.2026.3706425. [Link]
4. Akliya, N., Nimishan, S., Weerakoon, B.S. and Ragel, R.G., 2026. Optimising tibia shaft fracture detection and classification with AI: A study utilising deep learning techniques on X-ray images. Informatics in Medicine Unlocked, p.101782. [Link]

Nimishan, S. and Theekshani, K., 2025. A FRAMEWORK FOR SAFE AND EFFICIENT FISHBONE LAYOUTS IN WAREHOUSE OPERATIONS. Journal of South Asian Logistics and Transport, 5(1). [Link]

Nimishan, S. and Joniton, S., 2025. The Influence of Indoor Football on Professional Football Players: Injury Risk, and Long-Term Career Implications. Sri Lankan Journal of Sports and Exercise Medicine, 3(1). [Link]

1. S. Nimishan and S. Shriparen, "An Approach to Improve the Performance of Web Proxy Cache Replacement Using Machine Learning Techniques," 2018 IEEE International Conference on Information and Automation for Sustainability (ICIAfS), Colombo, Sri Lanka, 2018, pp. 1-6, doi: 10.1109/ICIAFS.2018.8913368. [Link]
2. S. Nimishan and RL Dangalla, “Perception and Knowledge of Information Technology Ergonomics among Sri Lankan Students A Study.” Applied Science, Business & Industrial Research Symposium, 2024, 34–38. [Link]

3. Nimishan, S., Thuseethan, S., Ragel, R.G. and Vasanthapriyan, S., 2025, February. Boosting eeg-based emotion recognition with kolmogorov-arnold networks. In 2025 5th International Conference on Advanced Research in Computing (ICARC) (pp. 1-6). IEEE. [Link]

4. Godage, T., Nimishan, S., Vasanthapriyan, S., Palanisamy, V., Joseph, C. and Thuseethan, S., 2025, February. Evaluating the Effectiveness of Large Language Models in Automated Unit Test Generation. In 2025 5th International Conference on Advanced Research in Computing (ICARC) (pp. 1-6). IEEE. [Link]

5. S. Nimishan, S. Thuseethan, S. Vasanthapriyan and R. G. Ragel, "Tiny-VRN: A Lightweight Variational Residual Network for EEG-Based Emotion Recognition," 2025 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Singapore, Singapore, 2025, pp. 1651-1656, doi: 10.1109/APSIPAASC65261.2025.11248986. [Link]

6. Leenas, T., Nimishan, S., Thuseethan, S., Vasanthapriyan, S. and Ragel, R.G., 2025, November. GRU+ KAN: A Hybrid Deep Learning Framework for Subject-Independent EEG-Based Emotion Recognition. In 2025 IEEE International Biomedical Instrumentation and Technology Conference (IBITeC) (pp. 77-82). IEEE. [Link]

7. Nimishan, S., Thuseethan, S., Ragel, R.G. and Vasanthapriyan, S., 2025, November. TVRN: Tiny Variational Residual Network for Subject-Independent Emotion Recognition Using EEG Signals. In 2025 8th International Conference on Signal Processing and Information Security (ICSPIS) (pp. 1-6). IEEE. [Link]

8. Leenas, T., Nimishan, S., Thuseethan, S., Vasanthapriyan, S. and Ragel, R.G., 2025, November. A GRU+ KAN Hybrid Deep Learning Framework for EEG-Based Emotion Recognition. In 2025 8th International Conference on Signal Processing and Information Security (ICSPIS) (pp. 1-6). IEEE. [Link]

9. Theekshani, K., Wathsani, S. and Nimishan, S., 2026, January. Optimising V-Shaped Warehouse Layouts Through Logic Programming: A Prolog-Based Model. In 2026 1st International Conference on Innovations in Information and Communication Technologies (IICT) (pp. 1-5). IEEE. [Link]

Theekshani, K., Hansanee, S. and Nimishan, S., 2024. OPTIMIZATION OF FISHBONE LAYOUTS IN WAREHOUSE MANAGEMENT: A FRAMEWORK FOR EFFICIENT PICKING PATH DESIGN. [Link]

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