Quanjie Mei

Papers

Total Citations

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About

Quanjie Mei is a leading researcher in smart grid monitoring and autonomous inspection systems, with a focus on integrating robotics and wireless sensor networks for critical infrastructure. His work addresses the pressing challenge of inspecting transmission lines in complex environments—such as mountains and forests—where traditional methods fall short. Mei’s most cited paper (65 citations) introduces a novel method for autonomous inspection using cable inspection robot LiDAR data, enabling safer and more efficient monitoring of structurally complicated corridors. He also pioneered research on dynamic barrier coverage in wireless sensor networks for smart grids (26 citations), tackling the integration of inspection robots into sensor networks to form effective, real-time monitoring systems. These contributions have significant implications for enhancing grid reliability and reducing human risk in hazardous inspection tasks. Mei’s work is widely recognized for bridging the gap between autonomous robotics and smart grid technology, offering scalable solutions for the growing demands of modern electricity infrastructure.