Haibo Zeng
Papers
3
Total Citations
10
H-Index
2
About
Haibo Zeng is a leading researcher in the intersection of real-time embedded systems, cyber-physical systems, and autonomous robotics. His work focuses on the critical challenge of balancing safety and performance in autonomous systems operating in unpredictable environments. Zeng’s major contributions include pioneering the concept of “computational awareness” for robots, enabling them to dynamically manage their own computational resources to meet both safety and performance goals. His 2023 letter introducing the Safety-Performance (SP) metric is a foundational step toward formalizing this trade-off, ensuring that safety-critical tasks are not compromised by performance demands. This work, alongside his 2024 study on partitioned scheduling in stochastic conditional DAG models, has garnered early recognition, with each paper accumulating 4 citations. Zeng’s empirical studies on computational kernels for applications like precision agriculture and search-and-rescue further demonstrate his commitment to bridging theoretical models with real-world deployment. His research is essential for the next generation of trustworthy autonomous systems.
Research Focus
Key Achievements
Top Papers
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