Mohammad Aminpour

Dr. Mohammad Aminpour

Lecturer, Environmental Engineering (ECDF)

Details

Open to

  • Masters Research or PhD student supervision

About

Dr. Mohammad Aminpour is a University Lecturer in Geo-Environmental Engineering and a Geotechnical Scientist specializing in computational geomechanics. His research is centered on the application of advanced computational techniques to address complex geotechnical challenges. Dr. Aminpour's expertise encompasses geotechnical modeling, soil and rock mechanics, soil improvement, and deep foundations, positioning him as a leading researcher in geotechnical and geo-environmental engineering.

Dr. Aminpour is also proficient in developing data-driven engineering solutions, integrating machine learning to optimize engineering procedures and predict geotechnical behavior under uncertain conditions. He is actively exploring the use of digital twin technology for geo-environmental infrastructure, focusing on real-time infrastructure assessment and optimized design, including foundations for onshore and offshore wind farms.

With over eight years of industry experience, Dr. Aminpour has contributed to a variety of infrastructure projects, including dams, tunnels, oil and gas facilities, wind energy projects, and transportation systems. His research is widely published in reputable journals, and he continues to push the boundaries of computational geomechanics, offering innovative solutions to industry challenges.

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Geotechnical/Geo-Environmental Engineering

    • Specializes in Geotechnical Engineering, including soil and rock mechanics, soil improvement/remediation, contaminant transport, and deep foundations.
    • Expertise in Computational Geomechanics and Geotechnical Modelling, utilizing Finite Element Method (FEM), Discrete Element Method (DEM), and Lattice Boltzmann Method (LBM).

Data-Driven Engineering Solutions

    • Develops innovative data-driven solutions including machine learning methods to address industry challenges.
    • Expertise in optimizing engineering procedures, particularly in environmental engineering, geotechnical predictions, and uncertainty assessment.
    • Pioneering the use of digital twin technology for geo-environmental infrastructure.

Hydrogeology and Ecohydrology

    • Proficient in groundwater analysis, management, and remediation.
    • Applies principles of ecohydrology to understand and manage water resources in ecological contexts.

Industry Experience

    • Over 8 years of experience in infrastructure design and construction.
    • Projects include embankment and concrete dams, tunnels, oil and gas facilities, wind energy projects, water systems, roads, railways, mines, and power plants.

Community Activist

    • Founder of an Australian charity organization dedicated to societal impact.
    • Committed to creating sustainable and meaningful change.

Supervisor projects

  • Mining and Groundwater Towards a New Framework for Managing Groundwater Risks
  • 14 Nov 2023

Teaching interests

Hydrogeology CIVE1184

Advanced Hydrogeology CIVE1122

Research interests

Machine Learning Data-Driven Solutions in Geo-Environmental Engineering
Uncertainty / Reliability Assessment in Geotechnical Engineering
Computational Geomechanics (Finite Element Method, Discrete Element Method, Lattice-Boltzmann Method, Couple Multi-physics Methods)
Fluid Transport in Porous Media

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Acknowledgement of Country

RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business - Artwork 'Sentient' by Hollie Johnson, Gunaikurnai and Monero Ngarigo.