Sina Naeimi, Ph.D.
Postdoctoral Associate Durham School of Architectural Engineering and Construction University of Nebraska-Lincoln
Contact
- Address
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PKI 100
Omaha, NE 68182-0816 - Phone
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402-554-2288
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snaeimidafchahi2@nebraska.edu
- Website
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Google Scholar
- Social Media
Education
- Ph.D., Civil Engineering (Civil Infrastructure Systems), University of Delaware (2023)
- M.S., Civil Engineering (Earthquake Engineering), K.N. Toosi University of Technology (2015)
- B.S., Civil Engineering, University of Guilan (2012)
Professional Experience
- Postdoctoral Researcher – Regional Resilience Modeler, NHERI SimCenter, University of California, Berkeley (2023–2025)
- Research Assistant, University of Delaware (2019–2023)
- Committee Member, Insurance Subcommittee, Special Board for National Flood Report, University of Tehran (2019)
- Software Developer II – Bridge, Michael Baker International (2026)
Awards & Honors
- Editor's Choice Award, ASCE Journal of Infrastructure Systems (2024)
- Recognition for the development of REWET, an open-source tool for post-earthquake water infrastructure recovery modeling.
Bio
Dr. Sina Naeimi holds a Ph.D. in Civil Engineering from the University of Delaware, with a specialization in civil infrastructure systems, community resilience, catastrophe risk modeling, and infrastructure recovery analysis. His expertise spans hazard, exposure, vulnerability, damage, and loss modeling across multiple hazards, including earthquakes, floods, and wind events. Dr. Naeimi has extensive experience in probabilistic risk assessment, Monte Carlo simulation, geospatial analytics, and regional-scale resilience modeling. His work integrates advanced computational methods, open-source software development, and large-scale geospatial data processing to support infrastructure risk assessment and disaster resilience planning.
Research Areas
- Catastrophe risk modeling and resilience assessment
- Multi-hazard damage and loss modeling
- Infrastructure recovery and restoration analysis
- Probabilistic methods and Monte Carlo simulation
- Geospatial analytics and regional-scale modeling
- Water infrastructure systems resilience
- Open-source scientific software development
- Machine learning and predictive modeling for infrastructure systems