Renfa Li
Papers
5
Total Citations
50
H-Index
4
About
Renfa Li is a leading researcher in cyber-physical systems (CPS), real-time networking, and energy-efficient embedded computing. His work addresses critical challenges in autonomous vehicles, robotics, and industrial automation, where safety, timing, and power constraints converge. Li’s most impactful contribution is the ASDYS framework (22 citations), which introduces active scheduling strategies for multifunctional mixed-criticality CPS, enabling dynamic resource allocation across heterogeneous distributed architectures. He has also advanced time-sensitive networking (TSN) with robust delay-bound analyses (10 citations), providing formal guarantees for high-bandwidth real-time applications. In the energy domain, Li developed a design flow for dynamic and static energy-constrained scheduling in heterogeneous multicore embedded devices (8 citations), a vital contribution for battery-limited IoT systems. Notably, his work extends to human-robot interaction, including a novel approach for dialect speech interaction with NAO robots (6 citations), and an intelligible implementation of FastSLAM2.0 on low-power embedded architectures (4 citations), bridging SLAM algorithms with embedded system constraints. With over 50 total citations, Li’s research is shaping the future of safe, efficient, and intelligent embedded systems.
Research Focus
Key Achievements
Top Papers
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- 2Robust Time-Sensitive Networking with Delay Bound Analyses10 citations · 2021
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