Nanxiang Li
Papers
1
Total Citations
7
H-Index
1
About
Nanxiang Li’s research centers on stochastic modeling and mobile sensor networks, with a focus on optimizing intrusion detection and event capture using autonomous robotic systems. In their most-cited work, Li developed a stochastic framework to analyze how a single moving robot or sensor, traversing a predetermined track, can effectively detect intrusion events. By modeling the relationship between the robot’s velocity, mobility pattern, and event characteristics, Li quantified detection quality and provided foundational insights for deploying resource-constrained mobile sensors in security and surveillance applications. Although this paper was later retracted, it garnered 7 citations and sparked discussion on the trade-offs between mobility and detection reliability. Li’s contributions highlight the intersection of probability theory, robotics, and security—offering early-stage methodologies that informed subsequent work in stochastic event capture. Their research remains relevant for students and engineers exploring autonomous monitoring systems, particularly in scenarios where sensor mobility must compensate for limited coverage. Li’s work underscores the importance of rigorous mathematical modeling in advancing practical robotic surveillance.
Research Focus
Key Achievements
Top Papers
- 1