Rabih AMHAZ

Rabih Amhaz is a Researcher Lecturer at Icam (Strasbourg-Europe), focusing on AI applications in cybersecurity and computer vision. His work bridges theoretical machine learning with practical engineering challenges, particularly in anomaly detection, pavement crack analysis, and cyber threat mitigation. He collaborates closely with industry through Icam's strong corporate partnerships.

Research Interests:

• AI-driven cybersecurity solutions
• Deep learning for computer vision tasks
• Algorithmic development for infrastructure monitoring

His recent publications explore cutting-edge techniques like YOLO architectures for pavement crack detection (2023), graph neural networks for anomaly detection (2022-2021), and genetic algorithms in signal processing (2020).

Amhaz holds a unique position within Icam's applied research ecosystem, contributing to both academic publications and industrial applications through projects like the FP7 TRIMM initiative.