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 early damage detection of bridges. The goal is to:
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Distribute the computation tasks for structural health monitoring to the edge, allowing the measurement data to be processed directly closer to the sensor itself;
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Significantly reduce redundant data transmitted to the cloud, enabling faster, more efficient, and more scalable monitoring of bridges;
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Develop a reliable and cost‑effective tool to support decision‑making for bridge safety by utilizing the structural information from each sensor node within the sensing network.
In addition, I am willing to engage in international and multidisciplinary collaborations to address emerging challenges in bridge engineering.