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5.04/23/2026

Makes even the toughest topics accessible.

About Mehmet A.

Mehmet A. Orgun is a Professor in the School of Computing at Macquarie University, Sydney, within the Computer Science discipline. He earned his BSc degree in computer science and engineering from Hacettepe University, Ankara, Turkey, in 1982, followed by an MSc degree from the same institution in 1985, and a PhD in computer science from the University of Victoria, Canada, in 1991. Throughout his career, Professor Orgun has focused on key areas in artificial intelligence, including knowledge discovery, biomedical image processing, multi-agent systems, and trusted and secure systems. He currently leads the AI modelling and algorithms research program at Macquarie University's Frontier AI Research Centre, which develops advanced AI models and algorithms for smart decision-making across various analytics, learning, reasoning, and inference domains, encompassing unsupervised to supervised learning, reinforcement learning, and fine-tuning.

Professor Orgun's contributions to Computer Science are marked by his extensive publication record of 347 research outputs, comprising 114 journal articles and 180 conference proceedings contributions. Key publications include 'Beyond CNNs: exploiting further inherent symmetries in medical image segmentation' in IEEE Transactions on Cybernetics (2023), 'Classification of ISAR ship imagery using transfer learning' in IEEE Transactions on Aerospace and Electronic Systems (2024), and 'A synergistic approach for enhanced eye blink detection using wavelet analysis, autoencoding and Crow-Search optimized k-NN algorithm' in Scientific Reports (2025). He has co-authored several award-winning papers, such as 'A Dynamic Deep Trust Prediction Approach for Online Social Networks' (Best Paper Award, MoMM2020), 'A Heuristic Algorithm for Trust-Oriented Service Provider Selection in Complex Social Networks' (Best Paper Award, IEEE SCC2010), and 'A Dispute Arbitration Protocol Based on a Peer-to-Peer Service Contract Management Scheme' (Best Student Paper Award, IEEE ICWS2016). As chief investigator, he has secured Australian Research Council grants exceeding $4 million and collaborated with industry partners including the Australian Taxation Office and the Defence Science and Technology Organisation. Orgun has supervised 30 PhD students, 2 Masters by Honours students, and 5 Masters students. He holds Senior Member status in IEEE, has edited 6 books, served on editorial boards of leading journals, and chaired conferences such as PRICAI 2010 and SIN 2019.