Ahmad AUDI, PhD, Eng. is a Senior Embedded Computer Vision Engineer at Oreyeon, specializing in the research and development of computer vision and machine learning algorithms using Matlab and Python. Concurrently, Ahmad serves as a University Lecturer at Lebanese American University and Saint Joseph University of Beirut, teaching courses in deep learning, Python, C++ programming, and data structures. Previously, Ahmad was an Embedded Image Algorithms Engineer at LYNRED and held various academic positions at ESIEA, ESIEE PARIS, and CEA, where expertise included image processing, microcontrollers, and high-performance computing. Ahmad's early career involved innovative research on real-time computer vision algorithms for drone applications at IGN and work on hardware-software integration for Groupe PSA.
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Oreyeon LDA
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Oreyeon is a runway debris inspection AI software developed for Airport FOD inspection, detecting FODs, cracks, potholes, damaged joints, and vegetation.