Zijie Zeng

Research Interests

Structural Engineering Civil Engineering Optimisation Machine learning Modelling and simulation

Dr Zijie Zeng

ARC Grant-Funded Research Associate

School of Architecture and Civil Engineering

Faculty of Sciences, Engineering and Technology

Eligible to supervise Masters and PhD (as Co-Supervisor) - email supervisor to discuss availability.

My research interests lie in vibration-based and guided wave-based structural health monitoring (SHM) of engineering structures, with a focus on system identification and damage detection. I am particularly interested in the development and application of probabilistic optimization methods and deep learning techniques to enhance the reliability and accuracy of structural anomaly detection.

Date Position Institution name
2025 - ongoing Grant-Funded Reseacher (A) University of Adelaide
2021 - 2025 PhD University of Adelaide

Language Competency
Chinese (Cantonese) Can read, write, speak, understand spoken and peer review
Chinese (Mandarin) Can read, write, speak, understand spoken and peer review
English Can read, write, speak, understand spoken and peer review

Date Institution name Country Title
2021 - 2025 University of Adelaide Australia PhD
2016 - 2020 University of Adelaide Australia Bachelor of Engineering (First Class Honours)

Year Citation
2025 Zeng, Z., Feng, Y., Ng, C. T., & Sheikh, A. H. (2025). A two-stage guided wave-based framework for damage localization and shape approximation using a probabilistic binary topology optimization algorithm. Engineering structures, 343(C), 121149-1-121149-20.
DOI
2025 Zeng, Z., Feng, Y., Ng, C. T., & Sheikh, A. H. (2025). A likelihood-free Bayesian approach for characterisation of multiple delaminations in laminated composite beams. Structural Health Monitoring, 24(3), 1416-1437.
DOI Scopus3 WoS3
2025 Yin, T., Zeng, Z., Ng, C. T., Wang, T., & Kotousov, A. (2025). In-situ monitoring of graphene-reinforced mortar under loading using a vibro-acoustic technique: a theoretical, numerical, and experimental study. Mechanical Systems and Signal Processing, 224, 112190-1-112190-34.
DOI Scopus1 WoS1
2025 Ghiasi, A., Zhang, Z., Zeng, Z., Ng, C. T., Sheikh, A. H., & Shi, J. Q. (2025). Generalization of anomaly detection in bridge structures using a vibration-based Siamese convolutional neural network. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 40(18), 18 pages.
DOI Scopus4 WoS4
2025 Zeng, Z., Liang, P., Ng, C. T., & Sheikh, A. H. (2025). On the selection of distance functions and signal processing techniques for guided wave-based damage identification through a likelihood-free Bayesian framework. NDT and E International, 156, 103472-1-103472-15.
DOI Scopus1
2023 Zeng, Z., Gao, M., Ng, C. T., & Sheikh, A. H. (2023). Guided wave-based characterisation of cracks in pipes utilising approximate Bayesian computation. Thin Walled Structures, 192, 111138-1-111138-14.
DOI Scopus12 WoS10
Course Role Years
Wind and Earthquake engineering Assistant Course Coordinator 2025
Computer Analysis of Structures and Structural Dynamics 2025
Wind and Earthquake engineering Teaching Assistant 2022-2024
Structural steel design 2021-2023
Engineering Statics 2022-2024
Structural Mechanics 2022-2023
Computer Analysis of Structures and Structural Dynamics 2022-2023
Advanced Reinforced Concrete Design 2022-2023
Finite Element Theory & Practice 2022

 

Date Role Research Topic Program Degree Type Student Load Student Name
2025 Co-Supervisor Guided Wave Damage Detection of Civil Structures Using Data Driven Approaches Doctor of Philosophy Doctorate Full Time Mr Bo Yang
2025 Co-Supervisor Non-Destructive Techniques and Evaluation for Health Monitoring of Infrastructures Doctor of Philosophy Doctorate Full Time Mr Md. Rain Man Raja
2025 Co-Supervisor Guided Wave Damage Detection of Civil Structures Using Data Driven Approaches Doctor of Philosophy Doctorate Full Time Mr Bo Yang
2025 Co-Supervisor Non-Destructive Techniques and Evaluation for Health Monitoring of Infrastructures Doctor of Philosophy Doctorate Full Time Mr Md. Rain Man Raja

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