Ruikai He
Papers
2
Total Citations
73
H-Index
2
About
Ruikai He is a researcher at the forefront of intelligent infrastructure monitoring, specializing in fault detection and diagnosis for water distribution systems. His work integrates non-intrusive sensing technologies—including infrared thermal imaging, audio sensors, and robotic inspection—to automatically identify and diagnose faults in critical water infrastructure. He’s best known for developing an automatic fault diagnosis algorithm for hot water pipes using infrared thermal images, a paper that has garnered 50 citations and set a benchmark for thermal-based diagnostics. In a related landmark study, he proposed a multi-sensor, non-intrusive framework combining image and audio data with an inspection robot, earning 23 citations for its practical, deployable approach. He’s also contributed to advancing the use of inspection robots in confined pipe environments, reducing the need for disruptive manual checks. With a growing citation record and a focus on real-world applicability, He’s work is shaping the next generation of smart, resilient water systems.
Research Focus
Key Achievements
Top Papers
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