Welcome to my page!

Thuseethan received the BSc degree from the University of Jaffna, Sri Lanka and the PhD degree from Deakin University, Australia. He is currently a Lecturer in Information Technology at Charles Darwin University, Australia. He was a Postdoctoral Research Fellow with the School of Information Technology, Deakin University, Australia. His research interests include deep learning, emotion recognition and applications of machine learning.

Please feel free to contact Thuseethan for future collaborations!!!

Updates

[Apr 2024] Our work entitled "Family-based plant disease characterization using deep neural networks" has been accepted for publication in the "Multimedia Tools and Applications" journal, co-authored with Sivasubramaniam Janarthan, Sutharshan Rajasegararand John Yearwood

[Feb 2025] Our work entitled "Past, Present, and Future of Deep Plant Leaf Disease Recognition: A Survey" has been accepted for publication in the "Computers and Electronics in Agriculture" journal, co-authored with Romiyal George, Roshan G. Ragel, Kayathiri Mahendrakumaran, Sivaraj Nimishan, Chathrie Wimalasooriya and Mamoun Alazab

[Jan 2025] Our work entitled "Boosting EEG-Based Emotion Recognition with Kolmogorov-Arnold Networks" has been accepted for publication in the "ICARC 2025" conference, co-authored with Sivaraj Nimishan, Roshan G. Ragel and Shanmuganathan Vasanthapriyan

[Jan 2025] Our work entitled "Evaluating the Effectiveness of Large Language Models in Automated Unit Test Generation" has been accepted for publication in the "ICARC 2025" conference, co-authored with Tharindu Godage, Sivaraj Nimishan, Vigneshwaran Palanisamy, Charles Joseph, Roshan G. Ragel and Shanmuganathan Vasanthapriyan

[Nov 2024] Our work entitled "Siamese Network-based Lightweight Framework for Tomato Leaf Disease Recognition" has been accepted for publication in the "MDPI Computers" journal, co-authored with Palanisamy Vigneshwaran, Joseph Charles and Chathrie Wimalasooriya

[Nov 2024] Our work entitled "LiRAN: A Lightweight Residual Attention Network for In-Field Plant Pest Recognition" has been accepted for publication in the "IEEE Transactions on AgriFood Electronics" journal, co-authored with Sivasubramaniam Janarthan, Sutharshan Rajasegarar, Qiang Lyu, Yongqiang Zheng and John Yearwood

[Sep 2024] Our work entitled "Change Detection for Forest Ecosystems Using Remote Sensing Images with Siamese Attention U-Net" has been accepted for publication in the "MDPI Technologies" journal, co-authored with Ashen Iranga Hewarathna, Palanisamy Vigneshwaran, Luke Hamlin, Joseph Charles, Romiyal George, Chathrie Wimalasooriya and Bharanidharan Shanmugam

[Apr 2024] Our work entitled "Comparative Analysis of Pretrained Deep Neural Networks for Plant Disease Classification" has been accepted for publication in the "JCSSE 2024" conference, co-authored with Romiyal George and Roshan G. Ragel

[Nov 2022] Our work entitled "Deep3DCANN: A Deep 3DCNN-ANN Framework for Spontaneous Micro-expression Recognition" has been accepted for publication in the "Information Sciences" journal, co-authored with Sutharshan Rajasegarar and John Yearwood

[Sep 2022] Our work entitled "Double Attention-based Lightweight Network for Plant Pest Recognition" has been accepted for publication in the "ICONIP 2022" conference, co-authored with Sivasubramaniam Janarthan, Sutharshan Rajasegarar and John Yearwood

[Sep 2022] Our work entitled "P2oP - plant pathology on palms: A deep learning-based mobile solution for in-field plant disease detection" has been accepted for publication in the "Computers and Electronics in Agriculture" journal, co-authored with Sivasubramaniam Janarthan, Sutharshan Rajasegarar and John Yearwood

[Aug 2022] Our work entitled "Deep Hybrid Learning Framework for Plant Disease Recognition" has been accepted for publication in the "2022 International Research Conference in Smart Computing and Systems Engineering (SCSE)", co-authored with Ashen Iranga Hewarathna, Vigneshwaran Palanisamy and Joseph Chales

[Apr 2022] Our work entitled "EmoSeC: Emotion recognition from scene context" has been accepted for publication in the "Neurocomputing" journal, co-authored with Sutharshan Rajasegarar and John Yearwood

[Oct 2021] Our work entitled "Deep COVID-19 Recognition Using Chest X-ray Images: A Comparative Analysis" has been accepted for publication in the "2021 5th SLAAI International Conference on Artificial Intelligence (SLAAI-ICAI)", co-authored with Chathrie Wimalsooriya and Shanmuganathan Vasanthapriyan

[Aug 2021] Our work entitled "Deep Continual Learning for Emerging Emotion Recognition" has been accepted for publication in the "IEEE Transactions on Multimedia" journal, co-authored with Sutharshan Rajasegarar and John Yearwood