Hamed Ebrahimian

Hamed Ebrahimian is an Assistant Professor in the Department of Civil & Environmental Engineering at the University of Nevada, Reno (UNR). He holds a PhD in Structural Engineering from UC San Diego and completed postdoctoral research at Caltech. His research focuses on integrating computational models with sensory data, Bayesian inference, and wildfire engineering. Key areas include structural health monitoring, nonlinear finite element modeling, and disaster resilience. He is actively recruiting motivated PhD students and postdoctoral scholars for projects in data assimilation, offshore wind turbine systems, and wildfire risk assessment.

Education:

• PhD in Structural Engineering, UC San Diego
• Postdoctoral Scholar, California Institute of Technology (Caltech)

Research Interests:

• Wildfire simulation and risk assessment
• Bayesian model updating and digital twinning
• Structural health monitoring and nonlinear mechanics
• Offshore wind turbine dynamics
• Experimental and computational structural mechanics

Article Trends: Recent work emphasizes wildfire modeling (fuel characterization, firebrand spotting), offshore wind turbine structural analysis, and Bayesian methods for system identification. Over 40 publications span structural engineering, environmental systems, and computational mechanics.

Advising & Grants: Seeks candidates with strong programming skills (Python, C++) and background in nonlinear mechanics or data science. Active projects funded by NSF CAREER and industry collaborations.

Lab/Teams: Leads UNR's interdisciplinary research group focusing on computational modeling, data-driven decision making, and infrastructure resilience.