Athanasios G. Ouzounis

International Hellenic University, Democritus University of Thrace

Papers

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About

Athanasios G. Ouzounis is a leading researcher at the intersection of computer vision, deep learning, and industrial automation, with a specialized focus on defect detection in natural stone materials. His primary research areas include generative artificial intelligence, semantic segmentation, and robotic quality control systems for the marble industry. Ouzounis’s most significant contribution is the development of deep learning architectures for automated crack detection on marble surfaces, a critical advancement for an industry where manual inspection remains error-prone and inefficient. His seminal work, "Towards Robotic Marble Resin Application: Crack Detection on Marble Using Deep Learning" (2022), has garnered 20 citations and established a foundational framework for integrating machine vision into production lines. More recently, his 2025 paper "Utilizing generative AI for crack detection in the marble industry" addresses the persistent challenge of limited annotated datasets by exploring synthetic data generation. This forward-looking approach not only improves detection accuracy but also reduces the labor-intensive process of manual data labeling. Ouzounis’s research directly bridges the gap between cutting-edge AI techniques and practical industrial applications, making him a key figure in modernizing traditional manufacturing through intelligent automation.