Sanglu Lu

Nanjing University, Nanjing University of Science and Technology

Papers

Total Citations

204

H-Index

About

Sanglu Lu is a leading researcher whose work bridges the critical gap between energy sustainability and intelligent sensing systems. Her primary research areas include wireless sensor networks, mobile charging optimization, and edge computing, with a growing focus on mmWave radar perception. Lu’s most influential contribution is her pioneering work on collaborative mobile charging, where she introduced the concept of using mobile vehicles as wireless power sources to replenish sensor nodes—a breakthrough that directly addresses the battery limitations plaguing wireless sensor networks. Her 2014 paper on this topic has garnered 139 citations, establishing a foundational framework for energy-autonomous IoT deployments. She further advanced the field by optimizing itinerary selection and charging association for mobile chargers (60 citations), enabling more efficient and scalable power delivery. In recent years, Lu has expanded into 3D object detection using commercial mmWave radar, achieving 4 citations for her 2024 work that overcomes the limitations of vision-based systems in low-visibility conditions. Her adaptive scheduling research for edge inference pipelines (2025) demonstrates her ongoing commitment to real-world, resource-constrained applications. Through her sustained focus on energy efficiency and practical deployment, Lu has become a key figure in enabling the next generation of autonomous, long-lasting sensor networks.