Mohammed Ben Youssef

Columbia Region Healthcare Engineers Association

Papers

Total Citations

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About

Mohammed Ben Youssef is a leading researcher in photonics and metasurface engineering, with a focus on advancing imaging and sensing technologies for autonomous systems. His most-cited work, "Metasurface-enhanced Light Detection and Ranging Technology" (2022, 6 citations), pioneers the integration of metasurfaces into LiDAR systems to mimic human vision. By enabling simultaneous acquisition of peripheral and foveal fields of view, his research addresses a critical challenge in robotics: balancing coarse scene exploration with high-resolution focus. This innovation promises to enhance object detection and navigation in autonomous vehicles and drones. Though early in its citation trajectory, the paper’s conceptual originality has already sparked interest in the optics community. Ben Youssef’s contributions lie at the intersection of nanophotonics and artificial intelligence, where his work on metasurface design for dynamic light manipulation is laying the groundwork for next-generation, vision-inspired sensors. His research not only pushes the boundaries of optical engineering but also offers practical solutions for real-world autonomy, marking him as a rising figure in the field.