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Mohammad Vahab received his PhD in Civil Engineering from Sharif University of Technology in 2015. He then joined the University of New South Wales (UNSW) as a research associate in Geotechnical Engineering and is currently employed as a lecturer in the School of Civil and Environmental Engineering. His research focuses on numerical simulation employing cutting-edge computational methods, specifically the Extended Finite Element Method (XFEM) and Non-differentiable Energy Minimisation using the Discontinuous Galerkin Method (DG). Mohammad specializes in hydro-mechanical coupling processes in saturated and unsaturated porous formations, which involves the development of physical models within advanced computational frameworks related to hydraulic fracturing treatments in neat, fractured, and/or layered domains. He also investigates the application of deep learning to study the complex mechanical responses of geo-infrastructures through Physics-Informed Neural Networks (PINNs). Mohammad is a Chief Investigator in the Research Hub for Resilient Intelligent Infrastructure Systems (RIIS), a project that aims to enhance sustainability, serviceability, resilience, planning, decision-making, and safe operations for infrastructures in Australia. His contributions are centered on discovery, inversion, and data processing for the purpose of health monitoring infrastructures, which is a key aspect of sustainable engineering design practices.
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