Projects per year
Personal profile
Research interests
Dr. Thuseethan's research focuses on machine learning, deep learning, and computer vision, with applications including emotion recognition, medical imaging, and precision agriculture.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
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Projects
- 2 Active
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Biosecurity Risk Area Tool for Northern Australia
Sebastian, Y. (Principal Investigator/Chief Investigator A), Yeo, C. (Co Investigator/Chief Investigator B) & Selvarajah, T. (Chief Investigator C)
15/05/25 → 15/11/26
Project: Research
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Optimizing Precision Agriculture Artificial Intelligence (AI) Models for Improved Performance and Broader Applications
Selvarajah, T. (Principal Investigator/Chief Investigator A)
12/06/25 → 1/06/26
Project: Research
Research output
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An Innovative Coverage Path Planning Approach for UAVs to Boost Precision Agriculture and Rescue Operations
Fahad, N. M., Thuseethan, S., Azid, S. I. & Azam, S., Jul 2025, In: International Journal of Intelligent Systems. 2025, 1, p. 1-24 24 p., 4700518.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (Scopus)7 Downloads (Pure) -
Background-Masked Lightweight Approach for Pear Leaf Disease Recognition
George, R., Thuseethan, S., Ragel, R. G., Rajasegarar, S., Alazab, M., Campbell, H. & Yearwood, J., 1 Aug 2025, In: IEEE Access. 13, p. 133668-133680 13 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Downloads (Pure) -
Boosting EEG-Based Emotion Recognition with Kolmogorov-Arnold Networks
Nimishan, S., Thuseethan, S., Ragel, R. G. & Vasanthapriyan, S., 2025, 2025 5th International Conference on Advanced Research in Computing: Converging Horizons: Uniting Disciplines in Computing Research through AI Innovation, ICARC 2025 - Proceedings. Ishanka, U. A. P., Herath, G. A. C. A. & Prasanth, S. (eds.). IEEE, Institute of Electrical and Electronics Engineers, p. 1-6 6 p. (2025 5th International Conference on Advanced Research in Computing: Converging Horizons: Uniting Disciplines in Computing Research through AI Innovation, ICARC 2025 - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings › peer-review
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Comparative study of simulation tools for VANET environments: Evaluating NS3 and OMNET++/INET for intelligent transportation systems
Kaur, R., Singla, C., Chhabra, R. & Thuseethan, S., 4 Jun 2025, In: AIP Conference Proceedings. 3261, 1, p. 1-9 9 p., 030006.Research output: Contribution to journal › Conference article › peer-review
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Conv-Ensemble for Solar Power Prediction With First Nations Seasonal Information
Thuseethan, S., Gangajaliya, S., Hamlin, L., Shanmugam, B. & Thennadil, S., 2025, In: IEEE Open Journal of the Computer Society. 6, p. 884-895 12 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile33 Downloads (Pure) -
Evaluating the Effectiveness of Large Language Models in Automated Unit Test Generation
Godage, T., Nimishan, S., Vasanthapriyan, S., Palanisamy, V., Joseph, C. & Thuseethan, S., 2025, 2025 5th International Conference on Advanced Research in Computing: Converging Horizons: Uniting Disciplines in Computing Research through AI Innovation, ICARC 2025 - Proceedings. Ishanka, U. A. P., Herath, G. A. C. A. & Prasanth, S. (eds.). IEEE, Institute of Electrical and Electronics Engineers, p. 1-6 6 p. (2025 5th International Conference on Advanced Research in Computing: Converging Horizons: Uniting Disciplines in Computing Research through AI Innovation, ICARC 2025 - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings › peer-review
2 Citations (Scopus) -
Family-based plant disease characterization using deep neural networks
Janarthan, S., Thuseethan, S., Rajasegarar, S. & Yearwood, J., Oct 2025, In: Multimedia Tools and Applications. 84, 34, p. 42711-42733 23 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile18 Downloads (Pure)
Press/Media
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Researchers from Deakin University Provide Details of New Studies and Findings in the Area of Networks (Deep3dcann: a Deep 3dcnn-ann Framework for Spontaneous Micro-expression Recognition)
7/06/23
1 item of Media coverage
Press/Media: Research
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New Findings from Deakin University in the Area of Plant Diseases and Conditions Described (P2op-plant Pathology On Palms: a Deep Learning-based Mobile Solution for In-field Plant Disease Detection)
22/11/22
1 item of Media coverage
Press/Media: Research
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Researchers from Deakin University Describe Findings in Networks (Deep Continual Learning for Emerging Emotion Recognition)
8/12/22
1 item of Media coverage
Press/Media: Research
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Studies from Charles Darwin University in the Area of Computer Science Described (Siamese Network-Based Lightweight Framework for Tomato Leaf Disease Recognition)
25/12/24
1 item of Media coverage
Press/Media: Research
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Data from Sabaragamuwa University of Sri Lanka Advance Knowledge in Remote Sensing (Change Detection for Forest Ecosystems Using Remote Sensing Images with Siamese Attention U-Net)
Shanmugam, B. & Selvarajah, T.
27/09/24
1 item of Media coverage
Press/Media: Research