Jiong Mao
Papers
1
Total Citations
23
H-Index
1
About
Jiong Mao is a researcher specializing in intelligent infrastructure monitoring, with a focus on fault detection and diagnosis in water distribution systems. His work integrates image sensors, audio sensors, and inspection robotics to develop non-intrusive methods for identifying leaks, blockages, and structural anomalies in urban water networks. His most cited paper, "A non-intrusive approach for fault detection and diagnosis of water distribution systems based on image sensors, audio sensors and an inspection robot" (2021), has garnered 23 citations, highlighting its practical relevance in smart city and civil infrastructure research. By combining sensor fusion with autonomous robotic inspection, Mao’s contributions enable real-time, cost-effective monitoring that reduces the need for disruptive manual inspections. His work is notable for bridging the gap between sensor technology and operational water management, offering scalable solutions for aging infrastructure. For students and researchers in civil engineering, robotics, or environmental monitoring, Mao’s research demonstrates how interdisciplinary approaches can address critical challenges in urban sustainability and resilience.
Research Focus
Key Achievements
Top Papers
- 1