Kecheng Yang
Papers
2
Total Citations
15
H-Index
2
About
Kecheng Yang is a rising researcher in real-time and embedded systems, with a focus on the scheduling and timing analysis of modern autonomous platforms. His work bridges the gap between formal real-time theory and practical system design, particularly for the Robot Operating System 2 (ROS 2) and mixed-criticality architectures. In his highly cited 2024 paper, Yang introduced a dynamic priority scheduling framework for multithreaded ROS 2 executors with shared resources, addressing a critical limitation in current real-time ROS 2 research, which had largely focused on default scheduling schemes. This contribution is vital for ensuring predictable timing behavior in robotics and autonomous systems. Additionally, his 2023 work on compositional mixed-criticality systems proposed a novel resource-budget model supporting multiple executions, enhancing software reusability and modularity in hierarchical architectures like AUTOSAR and ROS 2. With over 15 citations across his most prominent papers, Yang’s research is gaining traction for its practical relevance and theoretical rigor. His achievements demonstrate a clear impact on the real-time systems community, offering foundational insights for building safer, more predictable autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2