Section: Overview
Key publications
Research funding
Supervising & teaching

Key details

Areas of expertise

  • Systematic uncertainty quantification and treatment in structural engineering
  • Structural health monitoring
  • Sustainable concrete structures
  • Resilience of civil structures under extreme loading conditions
  • Performance based structural design methodologies

Available to supervise research students

Available for media queries

About Vincent Wang

Dr Vincent Wang is currently a Senior Lecturer in Civil Engineering at Victoria University. Hailing from National University of Singapore where he graduated with a PhD degree in 2008, Dr Wang worked at James Cook University as a Lecturer and then Senior Lecturer in Civil Engineering before joining Victoria University in early 2015.

His research interests are in uncertainty quantification in structural engineering, and are particularly concerned with:

  • structural health monitoring allowing for stochastic effect
  • resilience of civil structures against hazards
  • safety assessment of in-service concrete structures.


Positions held:

  • 2015 – Present, Senior Lecturer, Victoria University, Melbourne, Australia
  • 2014 – 2015, Senior Lecturer, James Cook University, Townsville, Australia
  • 2010 – 2013, Lecturer, James Cook University, Townsville, Australia
  • 2009 – 2010, Research Fellow, National University of Singapore, Kent Ridge, Singapore


  • PhD, National University of Singapore, 2008

Key publications

Year Citation
2021 Wang, V. Z., & Fragomeni, S. (211225). Multiparameter recursive reliability quantification for civil structures in meteorological disasters. Structural Engineering and Mechanics, 80(6), (711-726).

doi: 10.12989/sem.2021.80.6.711

2016 Wang, V. Z., Pease, T., & Robinson, S. (160301). Statistical damage prognosis for in-service civil structures against hazards: Formulations and applications. Journal of Engineering Mechanics, 142(3),

doi: 10.1061/(ASCE)EM.1943-7889.0000969

2015 Wang, V. Z., & Ong, K. CG. (150101). Nonparametric statistical formulations for structural health monitoring. Computers and Structures, 148 (63-74).

doi: 10.1016/j.compstruc.2014.10.007

2014 Sivakugan, N., Widisinghe, S., & Wang, V. Z. (141001). Vertical stress determination within backfilled mine stopes. International Journal of Geomechanics, 14(5),

doi: 10.1061/(ASCE)GM.1943-5622.0000367

2014 Wang, V. Z., & Ginger, J. D. (140610). Maximum a posteriori estimation based wind fragility analysis with application to existing linear or hysteretic shear frames. Structural Engineering and Mechanics, 50(5), (653-664).

doi: 10.12989/sem.2014.50.5.653

2014 Wang, V. Z., Mallett, M., & Priory, A. (140201). Seismic fragility evaluation with incomplete structural appraisal data: An iterative statistical approach. Journal of Structural Engineering (United States), 140(2),

doi: 10.1061/(ASCE)ST.1943-541X.0000804

2014 Wang, V. Z., & Sivakugan, N. (140101). Time-invariant and time-variant reliability analyses of reinforced concrete systems with appraisal data missingness. ACI Structural Journal, 111(5), (1167-1177).

doi: 10.14359/51686808

2014 Wang, V. Z., & Sivakugan, N. (140101). An expectation-maximization algorithm embedded framework for safety assessment of reinforced concrete systems. ACI Structural Journal, 111(3), (515-524).

doi: 10.14359/51686568

2013 Lovisa, A. C., Wang, V. Z., Henderson, D. J., & Ginger, J. D. (131101). Development and validation of a numerical model for steel roof cladding subject to static uplift loads. Wind and Structures, An International Journal, 17(5), (495-513).

doi: 10.12989/was.2013.17.5.495

2013 Wang, V. Z., & Lyons, E. (130909). Large-sample normal approximation and relevant sensitivity in linear seismic fragility analysis with hierarchically modeled stiffness properties. Probabilistic Engineering Mechanics, 34 (91-100).

doi: 10.1016/j.probengmech.2013.08.002

Research funding for the past 5 years

Funding details for this researcher are currently unavailable.

Supervision of research students at VU

Available to supervise research students

Available for media queries

Currently supervised research students at VU

No. of students Study level Role
1 PhD Principal supervisor

Currently supervised research students at VU

Students & level Role
PhD (1) Principal supervisor


Details of this Researcher's career are currently unavailable.