Mr Deshan Kalupahana

Deshan Kalupahana is currently pursuing a PhD at the School of Computer Science and Engineering, University of New South Wales (UNSW), Sydney, Australia. His research focuses on computer vision and artificial intelligence (AI) technologies aimed at improving machine perception and interpretation. His PhD specifically explores AI-based approaches for the efficient analysis of colorectal diseases.

Before commencing his PhD, Deshan was involved in a multidisciplinary research group in Sri Lanka that focused on the use of Optical Coherence Tomography (OCT) in various domains. He completed his MPhil at the University of Sri Jayewardenepura in 2024, where his research centered on using OCT to detect circular leaf spot disease in persimmon through the analysis of leaf images. During this period, he also collaborated with a research group working on MRI-based brain cancer analysis. His contributions to these projects have been published in peer-reviewed journals and presented at international conferences.

Deshan earned his BScEng in Computer Engineering from the University of Peradeniya, Sri Lanka, in 2017. He began his career as a software engineer before transitioning to academia in 2019. From 2019 to 2024, he served as an instructor and lecturer at the Faculty of Engineering, University of Sri Jayewardenepura, where he taught courses such as Introduction to Computer Systems, Data Mining, Computer Networks, and Distributed Systems.

Currently, Deshan works as a tutor at UNSW, delivering tutorials for courses including Neural Networks and Deep Learning, as well as Data Structures and Algorithms.

His broader research interests include artificial intelligence and computer vision, with a strong focus on applications in the medical domain. He is passionate about developing AI-driven systems that can interpret medical data efficiently to enhance understanding and support improved healthcare outcomes for humanity.