• Deep Learning
• Object Tracking
• Machine Learning
• Image Processing
• Data Science

• Information and Communication Technology
• Computer programming using C++
• Computing for Electro Technology
• Computing for Automobile Technology
• Foundation of Computer Systems
• Machine Learning

Journal

1. Kugarajeevan, J., Kokul, T., Ramanan, A. and Fernando, S.: “Context-aware token pruning and discriminative selective attention for transformer tracking”, Journal of Visual Communication and Image Representation, Elsevier, p.104884, vol. 119, 2026, ISSN: 1047-3203, DOI: https://doi.org/10.1016/j.jvcir.2026.104884
2. Kugarajeevan, J., Kokul, T., Ramanan, A. and Fernando, S.: “Selective Information Flow for Transformer Tracking”, Expert Systems with Applications, Elsevier, vol. 259, p. 125381, 2025, ISSN: 0957-4174, DOI: https://doi.org/10.1016/j.eswa.2024.125381.
3. Kugarajeevan, J., Kokul, T., Ramanan, A. and Fernando, S.: “Transformers in Single Object Tracking: An Experimental Survey”, IEEE Access, vol. 11, pp. 80297-80326, July 2023. DOI: 10.1109/ACCESS.2023.3298440
4. Janani, T. and Ramanan, A. “Feature Fusion for Efficient Object Classification Using Deep and Shallow Learning”, International Journal of Machine Learning and Computing (IJMLC), 7(5), pp. 123-127, 2017.

Proceeding

1. Kugarajeevan, J., Kokul, T., Ramanan, A. and Fernando, S.: “Transformer Tracking Using Spatiotemporal Features”, IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET 2024), pp. 524-529, Kota Kinabalu, Malaysia, August 2024, doi: 10.1109/IICAIET62352.2024.10730668.
2. Ketheesan T., Janani T., “Fetal Head Detection in 2D Ultrasound Images using Deep Learning”, International Conference on Advances in Computing and Technology (ICACT2020), pp. 71-72, 2020.