Yuheng Shen

Papers

Total Citations

H-Index

About

Yuheng Shen is a rising researcher in software engineering and cybersecurity, with a focus on the safety and reliability of robotic systems. His primary research areas include fuzzing, automated testing, and vulnerability detection in complex software frameworks, particularly the Robot Operating System 2 (ROS). Shen’s major contribution is the development of innovative testing methodologies that address the unique challenges of ROS, a widely used platform in safety-critical robotic applications. His most notable work, “Enhancing ROS System Fuzzing through Callback Tracing” (2024, 7 citations), introduces a novel approach to capture and test callback-driven behaviors that traditional fuzzing methods often miss, significantly improving the detection of subtle bugs and security flaws in ROS codebases. This work has already garnered attention for its practical impact on enhancing the robustness of autonomous systems. By bridging the gap between conventional software testing and the event-driven, asynchronous nature of robotics software, Shen is establishing himself as a key contributor to safer, more secure robotic deployments. His research holds promise for advancing the reliability of autonomous vehicles, drones, and industrial robots.