Zijie Zeng

Research Interests

Structural Engineering Civil Engineering Optimisation Machine learning Modelling and simulation

Dr Zijie Zeng

ARC Grant-Funded Research Associate

School of Civil Engineering and Construction

College of Engineering and Information 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
2026 - ongoing Research associate Adelaide University
2025 - 2025 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
2026 Yang, B., Zeng, Z., Ng, C. T., & Kotousov, A. (2026). Data-driven generalization for guided wave damage identification across beam-like structures. Structural Health Monitoring, 1-37.
DOI Scopus1
2026 Yang, B., Zeng, Z., Ng, C. T., & Kotousov, A. (2026). A generalized data-driven framework for guided wave-based damage localization and severity determination across different structures using small-sample data. Measurement, 277, 121530.
DOI
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 Scopus6 WoS4
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 Scopus5 WoS5
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 Scopus8 WoS7
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 Scopus4 WoS2
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 Scopus18 WoS14

Year Citation
2026 Yang, B., Zeng, Z., Ng, C. T., & Kotousov, A. (2026). Generalization of damage detection in beam-like structures using a guided wave-based data-driven framework. In C. T. Ng, D. Ozevin, & F. Ubertini (Eds.), Proceedings of SPIE the International Society for Optical Engineering Vol. 13949 (pp. 12). SPIE.
DOI
2025 Zeng, Z., & Ng, C. T. (2025). A Likelihood-Free Bayesian Framework for Model-Based Damage Identification Using Guided Waves. In Proceedings of the 1st International Conference on Engineering Structures (ICES 2024), as published in Lecture Notes in Civil Engineering Vol. 599 LNCE (pp. 1212-1222). Singapore: Springer Nature.
DOI Scopus1
Course Role Years
Wind and Earthquake engineering Assistant Course Coordinator 2025-2026
Computer Analysis of Structures and Structural Dynamics Assistant Course Coordinator 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
2026 Co-Supervisor Structural Health Monitoring and Condition Assessment of Bridges using Machine Learning Approach Master of Philosophy Master Full Time Mr Yongkang Yin
2026 Co-Supervisor Condition Assessment and Sustainability Evaluation of Civil Infrastructure Using Machine Learning and Non-contact Techniques Doctor of Philosophy Doctorate Full Time Mrs Manisha Kalauni
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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