Qingjun Xiao

Southeast University, Hong Kong Polytechnic University

Papers

Total Citations

H-Index

About

Qingjun Xiao is a leading researcher in the Internet of Things (IoT) and pervasive computing, with a primary focus on RFID-based sensing and wireless sensor networks. His work addresses fundamental challenges in object localization and navigation, pushing the boundaries of what can be achieved with minimal hardware. Xiao’s most notable contribution is the development of **Tag-Compass**, a fine-grained pose sensing system that can determine an object’s orientation and position using just a single RFID tag. This breakthrough, published in 2020 and garnering 21 citations, has significant implications for automatic assembly, indoor navigation, and robotics, offering a low-cost, high-precision alternative to complex sensor arrays. Earlier in his career, Xiao tackled the problem of reliable mobile sensor navigation without the need for localization services. His 2009 paper (9 citations) proposed a distributed, energy-efficient algorithm for guiding robots across static sensor fields, demonstrating his long-standing interest in practical, scalable solutions. By combining theoretical rigor with real-world applicability, Xiao’s work continues to influence the design of smart environments and autonomous systems, making him a key figure in the evolution of context-aware computing.