Zhineng Su
Papers
1
Total Citations
23
H-Index
1
About
Zhineng Su is a researcher whose work centers on intelligent infrastructure monitoring, with a particular focus on fault detection and diagnosis in water distribution systems. His most notable contribution is a pioneering non-intrusive approach that integrates image sensors, audio sensors, and an inspection robot to identify and diagnose faults in water networks without disrupting service. This multi-sensor fusion method, detailed in his 2021 paper, has garnered 23 citations, reflecting its growing influence in the field of smart water management and infrastructure resilience. Su’s work addresses critical challenges in urban water systems—such as leak detection and structural integrity assessment—by combining robotics with advanced sensing technologies. His research not only advances practical maintenance strategies but also contributes to the broader domain of cyber-physical systems for environmental monitoring. By enabling early, automated fault detection, Su’s innovations help reduce water loss and operational costs, making him a key figure in the development of sustainable, intelligent urban infrastructure.
Research Focus
Key Achievements
Top Papers
- 1