Zhihui Lu
Papers
5
Total Citations
51
H-Index
3
About
Zhihui Lu is a leading researcher at the intersection of edge-cloud computing, industrial IoT, and embodied intelligence, with a focus on smart manufacturing and healthcare robotics. His most influential work, “A Resource Recommendation Model for Heterogeneous Workloads in Fog-Based Smart Factory Environment” (2022, 26 citations), addresses the challenge of managing diverse data-processing tasks in Industry 4.0 settings by optimizing fog computing resources for real-time production safety. Lu also tackles critical cybersecurity issues in healthcare, as seen in “NIDD: an intelligent network intrusion detection model for nursing homes” (2022, 14 citations), which protects IoT-enabled elder care facilities from sophisticated cyberattacks. His recent contributions include predictive service demand models for nursing home robots (“Fidan,” 2023) and pioneering large vision model-assisted adaptive edge-cloud collaboration for embodied intelligence systems (“LAECIPS,” 2025), enabling flexible robotic visual inspection in dynamic manufacturing environments. With a growing citation impact and a clear trajectory toward integrating AI, edge computing, and robotics, Lu’s work is shaping the future of autonomous, secure, and intelligent systems across industrial and caregiving domains.
Research Focus
Key Achievements
Top Papers
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- 2NIDD: an intelligent network intrusion detection model for nursing homes14 citations · 2022
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