Osman Tursun

Dr. Osman Tursun is a Postdoctoral Research Fellow in Computer Vision and Machine Learning at QUT’s School of Electrical Engineering & Robotics, affiliated with the Signal Processing, Artificial Intelligence and Vision Technologies (SAIVT) research group. He holds a PhD in Computer Vision from QUT. His research focuses on large-scale image retrieval, semantic segmentation, natural language processing, and machine vision applications in mining through collaboration with Orica Digital Solutions.

Education: PhD in Computer Vision (QUT). Advanced Queensland Industry Research Fellow (2023) with a $240k grant for AI-driven mining software development. Current projects include real-time fragmentation analysis and ore intelligence systems.

Research interests emphasize cross-domain applications of AI, particularly in trademark retrieval, scene text editing, and explainable AI via heatmap analysis. His work bridges computer vision with natural language processing, as seen in projects like TUMLU (Turkic Language Benchmark) and PDV (Prompt Directional Vectors).

Publications span image retrieval (zero-shot, sketch-based), deep learning techniques (MTRNet++, attention mechanisms), and benchmark datasets (METU). His recent work explores explainability in neural networks using heatmaps and LLMs.

Awards include the 2023 Advanced Queensland Fellowship. Active in supervising postgraduate research students in AI, computer vision, and machine learning.