Reza Filizadeh
Building knowledge for resilient infrastructure systems — through structural engineering, probabilistic risk assessment, multi-hazard modeling, and monitoring-informed analysis.
Engineering under uncertainty, with impact on resilience and decision-making.
I am a Postdoctoral Research Associate at the University of Nebraska–Lincoln, working on integrated bridge, transportation network, and community resilience frameworks for Nebraska. My research develops risk-informed resilience frameworks that integrate physics-based models, field monitoring data, and probabilistic methods to improve infrastructure safety under natural and cascading hazards.
I hold a Ph.D. in Civil Engineering from the University of Vermont (GPA: 4.0/4.0) and am a licensed Professional Engineer (PE Civil: Structural, California #98529). I aspire to establish the SAPPHIRE Lab and develop an NSF CAREER proposal transforming forensic engineering and nuclear seismic walkdowns into explainable digital twin workflows and decision-support tools.
A focused portfolio across infrastructure risk and resilience.
Seismic Risk & Critical Infrastructure
Risk-informed assessment of critical infrastructure under evolving seismic hazard, with emphasis on probabilistic methods and decision support for nuclear and high-consequence facilities.
Flood Resilience of Bridges
Bridge scour, hydraulic loading, and resilience-based performance assessment for transportation infrastructure under extreme flood events and compound hazard scenarios.
Monitoring, Reliability & Digital Twins
Combining sensing, uncertainty quantification, and simulation to support infrastructure monitoring, reliability analysis, and lifecycle decision-making toward digital twin frameworks.
Selected publications and ongoing work.
Aspiring to establish SAPPHIRE Lab
Smart AI-Powered and Physics-Informed Infrastructure Resilience
This vision brings together AI, physics-informed modeling, sensing, uncertainty quantification, and systems thinking to support next-generation infrastructure resilience research.
The goal is to transform forensic engineering and nuclear seismic walkdowns into explainable digital twin workflows and decision-support tools for rapid condition assessment and recovery prioritization — anchored by an NSF CAREER proposal.
Digital twins and decision support tools for resilient infrastructure and communities
9 peer-reviewed journal papers · 6 conference proceedings · 1 paper in preparation
Graduate TA at UVM (CE 101, CE 001, CE 132, CE 162) and K.N. Toosi University (Nonlinear Analysis of Structures).
Reviewer for 50+ papers across 13+ journals
Ph.D., Civil Engineering, University of Vermont (GPA 4.0). PE Civil: Structural, CA #98529.
Multiple NSF NHERI grants · EERI · ASCE SEI 7-28 Committee
Let's connect.
I welcome opportunities for academic collaboration, interdisciplinary research, invited talks, and engagement with agencies and industry on infrastructure resilience, risk-informed analysis, and structural systems under hazards.