Raul Quinonez

Papers

Total Citations

H-Index

About

Raúl Quiñonez is a rising researcher at the intersection of autonomous systems and cybersecurity, with a focus on the emerging vulnerabilities of self-driving vehicles. His most-cited work, "Shared Reality" (2021), addresses a critical challenge in the field: how autonomous vehicles (AVs) can be deceived by attacks that generate false sensor data or actuation commands. By exposing these novel threats, Quiñonez has helped lay the groundwork for more resilient perception and decision-making systems in AVs. His research bridges the gap between real-time sensor fusion and adversarial robustness, offering practical insights for securing autonomous platforms against manipulation. Although his citation count is still growing, his contributions are already shaping conversations around trust and safety in next-generation transportation. Quiñonez’s work is particularly notable for its forward-looking approach, anticipating attack vectors that could become widespread as AVs become more integrated into daily life. For students and researchers entering the field, his research serves as a vital entry point into the security challenges that will define the future of autonomous mobility.