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Doctor Masoud Mohammadi

Biography

Masoud had been an invited visiting scholar from Semnan University of Iran (2017 to 2019), hosted at the Centre for Infrastructure Engineering (CIE), WSU. He is a professional civil/computer engineer with an international reputation and unique specialty in the realms of Artificial Intelligence (AI), digital infrastructure transformation, and AI-based asset management. In 2019, he was granted a prestigious full scholarship by Western Sydney University (WSU) with the support of Transport for NSW (TfNSW) to pursue his PhD under the main supervision of Dr. Maria Rashidi. Masoud successfully completed his PhD in July 2023, gaining recognition as an authority in implementing Artificial Intelligence (AI) and digital technologies to an innovative asset management platform that revolutionizes infrastructure monitoring and management.

Masoud has in excess of 31 publications (including 1 book chapter, 21 international journals, and 9 conference papers), which have garnered over 690 citations as of December 2023. Moreover, he actively contributes to the academic community as an associate editor for two special issues of the Remote Sensing journal (IF:5), reviewing approximately 100 articles, as well as serving as a chief investigator for an innovative connection governmental grant. He also received the "Award for Excellence on HDR Publication" from Western Sydney University in 2022 and the “Award for NSW Best PhD Thesis" from the New South Wales SC/IMS Chapter in 2023.

After submitting his thesis in 2022, Masoud participated in supervising several national and international industry partner/commercial projects, encompassing health monitoring (scanning and digitizing), digital platform development,  lab testing, structural integrity assessment, etc. These projects received support and funding from national and international companies such as Anglo-American, Godrej and Boyce Manufacturing, Etex Australia, Jennmar Australia, DSI Undergrounds, Endeavor Energy Australia, Transport for NSW (TfNSW), and others, awarding/securing research funds exceeding AUD 500,000.00 in 2022-2023.

Area of Expertise/Research

  • Intelligent Infrastructure
  • Digital Twin
  • Artificial Intelligence (AI)
  • Digital Technologies, Smart cities
  • Structural Analysis
  • Bridge Health Monitoring
  • Building Information Model (BIM)

Awards

  • Award for New South Wales (NSW) Best PhD Thesis, SC/IMS Chapter, 2023.
  • Award for Excellence on PhD Publication, WSU, 2022.
  • Chief Investigator of an Innovative Connection Government Grant, 2022.
  • Award full scholarship offer for PhD study, WSU, 2019.
  • Award to become a member of Iran's National Elite Foundation (INEF) Organization, 2019.
  • Award as the most productive researcher, Semnan University, 2017.

Editorial Contributions

  • Advancements in Remote Sensing and Digital Twins for Bridge Infrastructure, Remote Sensing Journal, 2023, special issue link.
  • Bridge Monitoring Using Remote Sensors, Remote Sensing Journal, 2022, special issue link.

PhD Research Topic

Development of Bridge Information Model (BrIM) for Digital Twinning and Management Using TLS Technology

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 limits 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 technologies such as terrestrial laser scanning (TLS) and photogrammetry 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 revolutionize the bridge health monitoring systems. This platform has shown significant potential in digitizing bridge projects in NSW and contributing to the development of smart cities. It is now in the process of commercialization, poised to revolutionize infrastructure monitoring and management.

Selected Projects

    ▪  Experimental Investigation on Pumpable Cribs, Sponsor: Jennchem Australia Pty Ltd, 2023.

    ▪ Innovation Connection Grant – Chief investigator, Sponsor: Oz Struct Pty Ltd, 2023.

    ▪ Terrestrial Laser Scanning of Thomas James bridge, NSW, Sponsor: Core Spatial Surveying Pty Ltd, 2022.

    ▪  Plasterboard Wall Panel – Component testing, Sponsor: Siniat (Etex Australia), 2022.

    ▪  Structural assessment and aging of transmission towers, Sponsor: Endeavor Energy Australia, 2022.

    ▪  Bridge Information Model (BrIM) development of Werrington Bridge, NSW, Sponsor: WSU and TfNSW, 2021.

    ▪ Modern damage assessment of the structural components using TLS technology, Sponsor: WSU, SoEN, 2020.

    ▪ Photogrammetry and digitisation of Windsor and McKanes Falls Bridge, NSW, Sponsor: RMS, 2019.

    ▪  Seismic ceiling - Component testing, Sponsor: Knauf Plasterboard Pty Ltd, 2018.

Selected Publications

  1. *Top Impact Factor Paper*:     M. Mohammadi, M. Rashidi, Y. Yu, B. Samali, “Integration of TLS-Derived Bridge Information Model (BrIM) with a Decision Support System (DSS) for Digital Twinning and Asset Management of Bridge Infrastructures” Journal of Computers in Industry, Elsevier, 2023, Paper Link.
  2. M. Mohammadi, M. Rashidi, V. Mousavi, Y. Yu, B. Samali, “Application of TLS Method in Digitization of Bridge Infrastructures: A Path to BrIM Development” Journal of Remote Sensing, MDPI, Vol. 15, No. 5, Page 1148, 2022, Paper Link.
  3. M. Mohammadi, M. Rashidi, V. Mousavi, A. Karami, Y. Yu, B. Samali, “Quality Evaluation of Digital Twins Generated Based on UAV Photogrammetry and TLS: Bridge Case Study” Journal of Remote Sensing, MDPI, Vol. 13, No. 17, Page 3499, 2021, Paper Link.
  4. *Top Cited Paper*:     M. Rashidi, M. Mohammadi, S. Sadeghlu, M. Abdolvand, L. Troung-Houng, B. Samali, “A decade of modern bridge surveying with 3D laser scanning: Review and future directions” Journal of Remote Sensing, MDPI, Vol. 12, No. 22, Page 3796, 2020, Paper Link.
  5. M. Mohammadi, M.A. Kafi, A. Kheyroddin, H. R. Ronagh, “Experimental and numerical investigation of innovative composite buckling restrained fuse under cyclic loading” Journal of Structures, Vol. 22, Pages 186-199, 2019, Paper Link.
  6. M. Mohammadi, M.A. Kafi, A. Kheyroddin, H. R. Ronagh, “Performance of innovative buckling restrained fuse for concentrically braced frames subjected to cyclic loading” Steel and Composite Structures, An International Journal, Vol. 36, No. 2, Page 163-177, 2020, Paper Link.

Contact Details:

Email: masoud.mohammadi@westernsydney.edu.au
LinkedIn: https://www.linkedin.com/in/masoud-mohammadi-a3826992/
GoogleScholar: https://scholar.google.com/citations?hl=en&user=fRCbjvcAAAAJ&view_op=list_works