Qingchen Tang
Doctoral student
Researcher
About me
I have pursued a tumultuous love affair with bridges — specializing in the dynamics of coupled train–bridge systems, vibration control of bridge structures, and finite element analysis of steel–concrete composite bridges.
Now, my Ph.D. research is edge computing and distributed smart sensing for bridge damage detection:
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Enable edge computing for structural health monitoring, allowing sensor data to be processed and analyzed closer to the source.
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Significantly reduce redundant data transmission to the cloud, improving efficiency, scalability, and responsiveness in bridge monitoring systems.
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Develop a reliable and cost‑effective decision‑support tool for bridge safety by leveraging structural information from the distributed sensing network.
In addition, I am willing to engage in international and multidisciplinary collaborations to address emerging challenges in bridge engineering.