Xiaochen Zhang

Papers

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About

Xiaochen Zhang is a researcher whose work spans two distinct but complementary domains: robotic non-destructive evaluation (NDE) of civil infrastructure and the design of embedded control systems. In the field of structural health monitoring, Zhang has made notable contributions by developing intelligent, automated inspection methods for concrete bridges. His 2014 paper on robotic impact-echo NDE demonstrates an innovative integration of mobile robotics with Fast Fourier Transform (FFT) and Support Vector Machine (SVM) techniques to detect structural flaws and deterioration in concrete — a contribution that has garnered 22 citations and highlights the potential for automation in infrastructure assessment. Complementing this engineering focus, Zhang's earlier work on embedded control systems explores collaborative modelling and co-simulation frameworks, addressing the challenge of integrating discrete-event software models with continuous-time dynamic plant models — a foundational concern in modern cyber-physical system design. Together, these contributions reflect a research profile bridging intelligent robotics, signal processing, and systems engineering. Zhang's work is particularly valuable for students and researchers interested in applying machine learning and automation to real-world structural inspection and embedded system development challenges.