Thuseethan Selvarajah

Thuseethan Selvarajah is a Lecturer in Information Technology at Charles Darwin University's Faculty of Science and Technology. His research focuses on machine learning, deep learning, and computer vision with applications in emotion recognition, medical imaging, and precision agriculture. He contributes to UN Sustainable Development Goals through these technologies.

Key projects include the Biosecurity Risk Area Tool for Northern Australia as a Chief Investigator. His work spans interdisciplinary collaborations in agriculture, healthcare, and transportation systems.

Research interests include developing deep learning frameworks for plant disease detection, emotion analysis from facial and contextual data, and optimizing emergency vehicle networks. He has authored over 28 peer-reviewed publications and achieved an h-index of 11 with 293 citations (as of 2025). He supervises postgraduate research students in these domains.

His technical expertise includes neural network architectures, transfer learning, and hybrid AI systems applied to real-world challenges like forest ecosystem monitoring and automated unit test generation.