Mohsen Zaker Esteghamati

Utah State University — United States

Engineering · Physical Sciences

13h-index509citations41works2.02yr avg
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Research Topics

Seismic Performance and Analysis(20), Structural Health Monitoring Techniques(15), Infrastructure Maintenance and Monitoring(8), Structural Response to Dynamic Loads(6), Structural Engineering and Vibration Analysis(5)

Publications41 total

Evaluating the Performance of Concrete Barriers in Protecting Bridge Piers under Vehicular Impact in Space-Constrained Settings
Journal of Performance of Constructed Facilities·2026
PROBABILISTIC SEISMIC ASSESSMENT OF A MID-RISE ECCENTRICALLY BRACED STEEL FRAME EQUIPPED WITH BUTTERFLY-SHAPED DAMPERS
2025Open Access
Automating Ground Motion Quality Assessment Using Residual Neural Networks
2025
Towards using explainable data-driven surrogate models for treating performance-based seismic design as an inverse engineering problem
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences·2025Open Access
Impact of modeling decisions on seismic loss and fragility assessment of steel buildings
Earthquake Spectra·2025
Making the Black Box Transparent: State of the Art in Explainable Machine Learning for Structural Design and Assessment
2025Open Access
A Numerical Investigation of the Performance of Damaged Concrete Barriers Under Sequential Vehicular Impacts
Buildings·2025· 1 citedOpen Access
Beyond Development: Challenges in Deploying Machine-Learning Models for Structural Engineering Applications
Journal of Structural Engineering·2025· 8 cited
Insights into susceptibility of underground infrastructure to geohazards due to subsurface urban heat Island
Sustainable Cities and Society·2025· 6 citedOpen Access
Machine Learning-Based Seismic Response and Fragility Curve Parameter Prediction of Steel Moment-Resisting Frames Equipped with Multi-Tuned Mass Damper Inerters
SSRN Electronic Journal·2025Open Access
INFLUENCE OF THE CHOICE OF SEISMIC LOSS METHOD ON ESTIMATING EARTHQUAKE-RELATED ENVIRONMENTAL IMPACTS OF STEEL FRAME BUILDINGS
COMPDYN Proceedings·2025
Efficiency and explainability of design‐oriented machine learning models to estimate seismic response, fragility, and loss of a steel building inventory
Earthquake Engineering & Structural Dynamics·2024· 11 cited
A multi-task deep learning-based framework for structural details and corrosion detection in steel bridges
2024· 1 citedOpen Access
Beyond development: Challenges in deploying machine learning models for structural engineering applications
arXiv (Cornell University)·2024· 1 citedOpen Access
List of contributors
Elsevier eBooks·2024
Leveraging machine learning techniques to support a holistic performance-based seismic design of civil structures
Elsevier eBooks·2024· 4 cited
A Data-Driven Approach to Evaluate the Compressive Strength of Recycled Aggregate Concrete
2023· 4 cited
A Reliability-Based Decision Support System for Resilient and Sustainable Early Design
American Society of Civil Engineers eBooks·2023· 5 cited
Evaluating fire resistance of timber columns using explainable machine learning models
Engineering Structures·2023· 41 cited
Evaluating the impact of higher-mode and inelastic dynamic responses of concrete frames on the performance of seismic intensity measures
Structures·2023· 9 cited
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Frequent Co-authors

Madeleine M. Flint(9), Adrián Rodríguez-Marek(4), Srishti Banerji(3), Qindan Huang(3), Diep Ton(3), Georg Reichard(3), Henry V. Burton(3), Albert Kottke(3), Shivalinga Baddipalli(3), Patricia Asiatco(3), M.Z. Naser(3), Andrew D. Sorensen(3), Alireza Farzampour(2), Mehdi Banazadeh(2), Matthew Musetich(2), Houri Sharifnia(2), Akbar Siami Namin(2), Mohammad Hesam Soleimani‐Babakamali(1), Thomas Gernay(1), Houri Sharifnia(1)