Shaojie Tang
Papers
2
Total Citations
8
H-Index
2
About
Shaojie Tang is a leading researcher in wireless sensor networks, cyber-physical systems, and mobile computing, with a particular focus on real-time monitoring and rescue systems. His work addresses critical challenges in large-scale network reliability and emergency response, where he has pioneered the integration of stationary and mobile sensor networks to create hybrid systems capable of rapid event detection and victim navigation. In his highly cited 2011 paper, "A real-time rescue system: Towards practical implementation of robotic sensor network" (6 citations), Tang proposed a framework that combines quick event detection with safe path planning for victims—a foundational contribution to practical emergency response technologies. His earlier work, "DREAM: On the reaction delay in large scale wireless networks with mobile sensors" (2 citations), further advanced the field by analyzing and minimizing reaction delays in hybrid sensor networks, demonstrating how mobile sensors can enhance coverage and response speed. Tang’s research has significant implications for disaster management, smart infrastructure, and autonomous systems, earning him recognition for bridging theoretical network design with real-world deployment challenges. His contributions continue to inspire new approaches to resilient, delay-sensitive network applications.
Research Focus
Key Achievements
Top Papers
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- 2