Hasan J. Alyamani
Papers
2
Total Citations
109
H-Index
2
About
Hasan J. Alyamani’s research lies at the intersection of autonomous systems, smart mobility, and cybersecurity, with a focus on making self-driving technologies both safer and more resilient. His most influential work, a 2022 paper on LiDAR point cloud compression, processing, and learning for autonomous driving, has garnered 87 citations, establishing him as a key voice in the sensor data challenges that underpin autonomous vehicle perception. This contribution addresses the critical need for efficient data handling in smart city environments, where unmanned vehicles must process vast amounts of 3D environmental data in real time. In parallel, Alyamani has explored the security of cyber-physical robotic systems, publishing a 2022 study on secure frameworks against cyber attacks that has attracted 22 citations. Though this paper was later retracted, it reflects his early engagement with the growing threat of cyberattacks on robotic platforms in manufacturing, healthcare, and logistics. His work highlights a dual commitment: advancing the core technologies of autonomous driving while addressing the vulnerabilities that could compromise human safety in increasingly connected urban ecosystems.
Research Focus
Key Achievements
Top Papers
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