Liban Hussein

Papers

Total Citations

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About

Liban Hussein is a rising researcher at the forefront of autonomous vehicle safety and LiDAR security. His work focuses on developing robust, secure sensing systems for self-driving cars and robotics, with a particular emphasis on frequency-modulated continuous-wave (FMCW) LiDAR. In his most-cited paper, "Secure FMCW LiDAR Systems with Frequency Encryption" (2022, 9 citations), Hussein addresses a critical vulnerability: the risk of spoofing and jamming attacks that could deceive autonomous navigation systems. By introducing frequency encryption techniques, he demonstrates how to protect LiDAR from malicious interference while maintaining high-precision 3D imaging. This contribution is vital as autonomous vehicles become more prevalent, ensuring they can navigate safely without being tricked by adversarial signals. Though early in his career, Hussein’s work signals a deep commitment to bridging cybersecurity and sensing technology—a niche essential for the future of transportation. His research not only advances hardware security but also lays groundwork for trustworthy autonomy, earning him recognition among peers focused on resilient perception systems.