Rate My Professor Hamed Ebrahimian

Ebrahimian's research focuses on system identification (linear and nonlinear) and uncertainty quantification, structural health monitoring, diagnosis, and prognosis, integration of computational models with sensory data for digital twins, Bayesian inference, model updating and inversion, stochastic filtering and data assimilation, nonlinear computational solid and structural mechanics, nonlinear mechanics of reinforced concrete, soil-structure interaction, large-scale experimental studies, multi-hazard analysis, design, and assessment of civil structures, disaster resilience, structural dynamics, and earthquake engineering. Key publications include "Nonlinear Finite Element Model Updating for Damage Identification of Civil Structures using Batch Bayesian Estimation" (Mechanical Systems and Signal Processing, 2016), "Adaptive Kalman filters for nonlinear finite element model updating" (Mechanical Systems and Signal Processing, 2020), and "Extended Kalman filter for material parameter estimation in nonlinear structural finite element models using direct differentiation method" (Earthquake Engineering & Structural Dynamics, 2015). He has principalled projects funded by NSF LEAP-HI for wildfire risk management ($2,000,000, 2020–2025), USGS for soil-structure-interaction ($81,130, 2020–2021), DOE for offshore wind turbine digital twins, and U.S. DOT SBIR for bridge digital twins. Ebrahimian received the Nevada Regents’ Rising Researcher Award in 2024.