Shengkai Zhang

Huazhong University of Science and Technology, Wuhan University of Technology

Papers

Total Citations

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About

Shengkai Zhang is a leading researcher in the Internet of Things (IoT) and sensing systems, with a focus on backscatter localization and mmWave radar enhancement. His major contributions include pioneering robot-assisted backscatter localization for IoT applications, a method that enables precise tag positioning without costly infrastructure—his 2020 paper on this topic has garnered 36 citations, reflecting its impact on smart city and smart home technologies. Zhang also advanced zero-start-up-cost localization with a single robot (2019, 5 citations), eliminating deployment barriers for low-power backscatter networks. More recently, he has tackled the challenge of sparse mmWave radar point clouds by integrating visual-inertial supervision (2024, 6 citations), offering a robust alternative to LiDAR in adverse weather. His work bridges robotics, wireless sensing, and computer vision, driving practical solutions for ubiquitous connectivity. Zhang’s research is notable for its emphasis on cost-effective, scalable systems, positioning him as a key innovator in next-generation IoT localization and environmental perception.