Academic Credentials
  • Ph.D., Civil Engineering, Clemson University, 2023
  • M.S., Civil Engineering, American University of Sharjah, UAE, 2019
  • B.S., Civil and Environmental Engineering, American University of Sharjah, UAE, 2016
Licenses & Certifications
  • Professional Engineer Civil, Florida, #102945
Academic Appointments
  • Instructor of Record, Clemson University, Spring 2023
Professional Affiliations
  • American Society of Civil Engineers (ASCE)
  • American Institute of Steel Construction (AISC)

Dr. Omar Abuodeh is a senior engineer specializing in structural health monitoring and finite element modeling (FEM) of bridges, buildings, and civil infrastructure. At Exponent, he has worked on forensic engineering cases, including construction defect litigation and insurance claims for residential and commercial buildings. He has performed failure analyses of structural components (e.g., girders, columns, slabs) in bridges and buildings using finite element modeling and evaluated the design compliance of concrete, steel, wood, and masonry structures per commonly adopted building codes and engineering standards. Dr. Abuodeh's technical expertise includes conducting site inspections to assess structural conditions, guiding destructive and non-destructive testing, analyzing site data, and reviewing construction documentation. His investigative work includes assessing structural damage from environmental factors such as water intrusion and hurricane and hail damage, with a focus on building envelope performance and structural member deterioration.

Prior to Exponent, Dr. Abuodeh conducted advanced research in structural engineering, including experimental testing of structural members, vehicle characterization through static and dynamic testing, and FEM-based simulations of nonlinear behavior in reinforced concrete strengthened with composite materials (e.g., fiber-reinforced polymers, aluminum alloy plates). He also developed finite element models to capture the vibration characteristics of vehicle-bridge interaction and applied machine learning techniques health monitoring through the passing vehicle signals. His work integrates data-driven methodologies, signal processing, and automation in Python to optimize structural assessment techniques. 

As an NSF Graduate Research Fellow at Clemson University, Dr. Abuodeh contributed to infrastructure resilience research, collaborating with an interdisciplinary team to develop the South Carolina State Engagement Hub (SCSEH) — an initiative addressing climate change-related extreme events. In his final year, he served as an instructor of record, teaching structural mechanics to undergraduate engineering students. 

His core competencies include structural health monitoring, operational modal analysis (OMA), finite element analysis (FEA), machine learning (ML) for structural applications, signal processing, and Python automation.