Masoud Mohammadi


Masoud had been an invited visiting scholar from the Semnan University of Iran (from 2017 to 2019), hosted at the Centre for Infrastructure Engineering (CIE). Masoud is a professional structural engineer with a specialty in structural digital twin development. He received his Bachelor's and Master’s degrees from the top ten universities in Iran with GPAs over 82% and 92%, respectively. He is an active member of Iran’s National Elites Foundation (INEF) Organization, a motivated entrepreneur, and known as the most productive researcher/engineer awarded by Semnan University. Masoud is the author and co-author of several high-quality journal and conference papers. He has also been involved with several famous digital information projects in Australia. In 2019, he was awarded a full scholarship by Western Sydney University financially supported by Transport for NSW (TfNSW) to pursue his PhD study. He is currently a PhD candidate at the Centre for Infrastructure Engineering, Western Sydney University, under the principal supervision of Dr Maria Rashidi, and also serves as an adviser on some state bridge information model initiatives in collaboration with TfNSW.

Honours and Awards

  • Awarded to become a member of Iran's National Elites Foundation (INEF), 2019.
  • Awarded as the most productive researcher/engineer, 2017.
  • Awarded as the most capable lecturer, 2014.

Areas of Research

  • Digital Twin Development
  • Artificial Intelligence
  • Remote Sensors
  • Bridge Health Monitoring
  • Structural Performance and Design

PhD Research Topic

Development of Bridge Information Model (BrIM) for Structural Health Monitoring Using TLS Technology

Supervised by: Dr Maria Rashidi (Principal), Professor Bijan Samali

Abstract: Over the years, bridge inspection practices and condition assessments were predicated upon long-established manual data collection methods which were generally unsafe, time-consuming, not precise, and labour-intensive influenced by the experience of the trained inspectors involved. Moreover, the collected documentation and information retained such as the bridge as-built geometry specifications were paper-based which significantly limit the ability to be readily transferred to assist asset managers or engineers. In recent years, the ability to turn an actual civil infrastructure asset into a well-detailed and precise digital model, as a digital twin, using state-of-the-art emerging technology such as TLS has become a strong demand among structural engineers and managers worldwide, especially bridge asset managers. Therefore, this research study aims to develop a TLS-derived digital platform as a Bridge Information Model (BrIM), integrated with a decision support algorithm, to further improve the bridge health monitoring systems. This platform has proven its potential benefits in the digitization of some bridge projects in New South Wales, Australia.

Current Projects

  • Photogrammetry and digitisation of Windsor Bridge.
  • Accuracy evaluation of McKanes Bridge point clouds.
  • CAD model development for McKanes Bridge.
  • Modern damage assessment of structural components.

Selected Publications

M. Mohammadi, M. Rashidi, V. Mousavi, A. Karami, Y. Yu and  B. Samali, (2021) Quality Evaluation of Digital Twins Generated Based on UAV Photogrammetry and TLS: Bridge Case StudyRemote Sensing, MDPI, Vol. 13, No. 17, Page 3499, Paper Link.

▪ Y. Feng, M. Mohammadi, L. Wang, M. Rashidi, P. Mehrabi, (2021) Application of Artificial Intelligence to Evaluate the Fresh Properties of Self-Consolidating ConcreteMaterials, MDPI, Vol. 14, No. 17, Page 4885, Paper Link.

▪ Y. Yu, M. Rashidi, B. Samali, M. Mohammadi, T. N. Nguyen, X. Zhou, (2021) Crack detection of concrete structures using deep convolutional neural networks optimized by enhanced chicken swarm algorithmStructural Health Monitoring, SAGE.

▪ J. Liu, M. Mohammadi, Y. Zhan, P. Zheng, M. Rashidi, P. Mehrabi, (2021) Utilizing artificial intelligence to predict the superplasticizer demand of self-consolidating concrete incorporating pumice, slag and fly ash powdersMaterials, Vol. 14, No. 22, Paper Link.

M. Mohammadi, M. Rashidi, V. Mousavi, A. Karami, Y. Yu and  B. Samali, (2021) Case study on accuracy comparison of digital twins developed for a heritage bridge via UAV photogrammetry and terrestrial laser scanningIn proceedings of the 10th International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 10, Porto, Portugal. 30 June - 2 July 2021.

▪ M. Rashidi, M. Mohammadi, S. Sadeghlou, M.M. Abdolvand, L. Truong-Hong and B. Samali, (2020) A Decade of Modern Bridge Monitoring Using Terrestrial Laser Scanning: Review and Future DirectionsRemote Sensing, MDPI, Vol. 12, No. 22, Page 37-96, Paper Link.

M. Mohammadi, M.A. Kafi, A. Kheyroddin, H. Ronagh, (2020) Performance of innovative buckling restrained fuse for concentrically braced frames subjected to cyclic loadingSteel and Composite Structures, An International Journal, Vol. 36, No. 2, Page 163-177, Paper Link.

M. Mohammadi, M. A. Kafi, A. Kheyroddin, H. Ronagh, M. Rashidi, (2020) “Experimental And Numerical Investigation of Innovative Composite Buckling-Restrained Fuse”, The Australasian Conference on the Mechanics of Structures and Materials, ACMSM 25, University of Queensland, Brisbane, Paper Link.

M. Mohammadi, M.A. Kafi, A. Kheyroddin, H.  Ronagh, (2019) Experimental and numerical investigation of innovative composite buckling restrained fuse under cyclic loadingJournal of Structures, Vol. 22, Pages 186-199, Paper Link.

▪M. Rashidi, M. Ghodrat, B. Samali and M. Mohammadi, (2018) “Management of information systems; Decision support system” intechOpen, Book Link

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