Shiqing Fan
Papers
1
Total Citations
5
H-Index
1
About
Shiqing Fan is a leading researcher at the intersection of real-time systems, autonomous robotics, and model-based engineering. His work focuses on the critical challenge of ensuring timing predictability in complex, event-driven autonomous applications built on the Robot Operating System 2.0 (ROS2). Fan’s major contribution is the development of trace-enabled timing model synthesis, a novel approach that bridges the gap between observed runtime behavior and formal analytical models. This methodology allows for the automatic generation of accurate timing models from execution traces, enabling precise worst-case execution time analysis and schedule optimization for ROS2-based systems—a key requirement for safety-critical domains like autonomous driving. His most cited paper (2024, 5 citations) has already established a foundation for this emerging field. By providing a practical, data-driven path to timing verification, Fan’s work is instrumental in making autonomous systems both more reliable and more efficient, directly supporting the industrial adoption of ROS2 in time-sensitive applications.
Research Focus
Key Achievements
Top Papers
- 1