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Niloofar Malekghaini

I joined the University of Nevada, Reno in January 2020 as a Ph.D. student. Currently, the main focus of my research is on the development of a new solution framework for operational monitoring and damage diagnosis of bridges under traffic load. For this purpose, the Bayesian model updating technique is used to integrate the nonlinear mechanics-based finite element models of bridges with vehicle tracking data, obtained from computer vision techniques, and bridge vibration responses. The updated finite element models are referred to as the bridge digital twin and are utilized to remotely estimate the location, severity, and mechanism of damage. My Master’s degree is in earthquake engineering, from Sharif University of technology. Prior to starting my Ph.D. studies, I was working in the industry with the collaboration of European consultant companies from 2017 to 2020.