Papers

2

Total Citations

181

H-Index

2

About

Dr. M. Aziz Ben Youssef is a leading innovator at the intersection of nanophotonics and autonomous systems, whose work is redefining the sensory capabilities of robots and self-driving vehicles. His primary research focuses on overcoming the fundamental limitations of conventional LiDAR—specifically its restricted field of view and slow imaging frame rates—by engineering advanced metasurface optics. In his landmark 2022 paper, which has garnered 138 citations, Dr. Ben Youssef introduced a metasurface-enhanced LiDAR system that mimics human vision by simultaneously capturing both peripheral and foveal fields of view, a breakthrough for real-time 3D perception in complex environments. Building on this, his 2023 work (43 citations) directly addresses the technological bottlenecks of 3D sensors, demonstrating how wide field-of-view metasurfaces can dramatically accelerate imaging speed without sacrificing resolution. By merging fundamental physics with practical engineering, Dr. Ben Youssef’s contributions are not merely academic—they are paving the way for safer, more perceptive autonomous systems. His research stands as a critical bridge between nanophotonic design and real-world robotic mobility, marking him as a key figure in the next generation of intelligent sensing technology.

Research Focus

Key Achievements

2
H-Index
2
Papers
181
Total Citations
91
Avg Citations/Paper
🏆 Most Cited Paper
Metasurface-enhanced light detection and ranging technology
138 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Centre National de la Recherche Scientifique, Université Côte d'Azur

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago