Sajjad Moazeni
Papers
1
Total Citations
9
H-Index
1
About
Sajjad Moazeni is a rising leader in the field of integrated photonics and secure sensing systems, with a focus on advancing LiDAR technology for autonomous vehicles and robotics. His most-cited work, "Secure FMCW LiDAR Systems with Frequency Encryption" (2022, 9 citations), addresses a critical vulnerability in 3D imaging by introducing frequency-encrypted ranging techniques to prevent spoofing and jamming attacks. This contribution not only enhances the robustness of autonomous navigation but also pioneers a new direction in hardware-level security for optical sensors. Moazeni’s research spans the intersection of photonic circuit design, signal processing, and system-level security, aiming to make LiDAR both more reliable and resilient. His work has garnered attention for its practical implications in safe autonomous driving, and he continues to explore scalable, energy-efficient photonic solutions. With a growing citation record and a focus on real-world impact, Moazeni is establishing himself as a key innovator in secure, high-performance sensing technologies.
Research Focus
Key Achievements
Top Papers
- 1Secure FMCW LiDAR Systems with Frequency Encryption9 citations · 2022