Dr Zijie Zeng
Grant-Funded Researcher
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.
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Appointments
Date Position Institution name 2025 - ongoing Grant-Funded Reseacher (A) University of Adelaide 2021 - 2025 PhD University of Adelaide -
Language Competencies
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 -
Education
Date Institution name Country Title 2021 - 2025 University of Adelaide Australia PhD 2016 - 2020 University of Adelaide Australia Bachelor of Engineering (First Class Honours) -
Research Interests
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Journals
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, 20 pages.
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.
Scopus2 WoS22025 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.
Scopus1 WoS12025 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.
Scopus3 WoS32025 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, 15 pages.
Scopus12023 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.
Scopus10 WoS8 -
Conference Papers
Year Citation 2025 Zeng, Z., & Ng, C. T. (2025). A Likelihood-Free Bayesian Framework for Model-Based Damage Identification Using Guided Waves. In Lecture Notes in Civil Engineering Vol. 599 LNCE (pp. 1212-1222). Guangzhou, China: Springer Nature Singapore.
DOI Scopus1
| 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 | |
| Computer Analysis of Structures and Structural Dynamics | 2022-2023 | |
| Advanced Reinforced Concrete Design | 2022-2023 | |
| Finite Element Theory & Practice | 2022 |
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Current Higher Degree by Research Supervision (University of Adelaide)
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
Connect With Me
External Profiles
