Summary
Haitham Khedr is a research scientist and PhD candidate focused on Trustworthy AI, currently advancing computer vision research at Meta FAIR while completing formal verification work on neural networks at UC Irvine. With 11 years of industry and academic experience spanning ADAS, multi-camera 3D detection, and perception systems, he blends hands-on engineering with rigorous formal methods to provide behavioral guarantees for learned models. His background includes multiple internships and research roles at Meta, Qualcomm, and leading universities, reflecting a practical track record of moving safety-critical vision algorithms from prototype to deployment. Notably, he pairs embedded and Autosar experience from automotive projects with deep verification expertise—an unusual combination that bridges low-level system constraints and high-level provable AI behavior. Based in the United States, he brings both breadth across perception stacks and depth in formal assurance to research-driven engineering challenges.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Science (BSc) Computer Engineering, Bachelor of Science (BSc) Computer Engineering at Ain Shams University
Self driving cars Nanodegree, Self driving cars Nanodegree at Udacity
University of California, Irvine
Nefertari language school
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of Maryland
English, Arabic