Marziyeh Rezaei

Papers

Total Citations

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About

Marziyeh Rezaei is a rising researcher whose work sits at the critical intersection of optical sensing, cybersecurity, and autonomous systems. Her primary research focus is on securing Light Detection and Ranging (LiDAR) technology—a cornerstone of modern autonomous vehicles and robotics. Rezaei’s most notable contribution, detailed in her highly cited 2022 paper “Secure FMCW LiDAR Systems with Frequency Encryption,” addresses a pressing vulnerability: the risk of spoofing and jamming attacks that could deceive autonomous navigation systems. By introducing frequency encryption into Frequency-Modulated Continuous Wave (FMCW) LiDAR, she has pioneered a method to ensure robust and secure ranging, directly enhancing the safety and reliability of future self-driving cars and robotic platforms. With her work already garnering significant attention (9 citations in a short time), Rezaei is establishing herself as a key voice in the emerging field of cyber-physical security for sensing systems. Her research not only advances the technical frontier of 3D imaging but also provides a practical blueprint for building trust in autonomous technologies, making her a researcher to watch in the years ahead.