The preprints of articles are provided in PDF format (preprint links) for prompt dissemination of scholarly work and to aid knowledge flow to natural hazard communities living in underprivileged regions. Readers are, therefore, invited to access the final version (final links), if that option exists for them. Nevertheless, these works may not be reposted without the permission of the copyright holders.
Book Chapters
B2. Zaker Esteghamati, M., Rodriguez-Marek, A., Flint M.M. (2023). A reliability-based decision support system for resilient and sustainable early design. In J. van de Lindt & M. Sasani & G. Warn & M. Zaker Esteghamati (Eds.), Resilient and Sustainable Buildings, ASCE Special Publication
B1. Zaker Esteghamati, M., (2023). Leveraging machine learning techniques to support a holistic performance-based seismic design of civil structures. In MZ. Naser (Eds.), Interpretable Machine Learning for the Analysis, Design, Assessment, and Informed Decision Making for Civil Infrastructure, Elsevier
Journal Papers
J20. Baddipalli, S., Gentile, R., O’Reilly, G., Shahnazaryan, D., Zaker Esteghamati, M. (2025). Impact of Modeling Decisions on Seismic Loss and Fragility Assessment of Steel Buildings, Earthquake Spectra. [Preprint] [Final]
J19. Zaker Esteghamati, M. (2025). Application of explainable data-driven surrogate models to treat performance-based seismic design as an inverse engineering problem, Proceedings of the Royal Society A.[Preprint] [Final]
J18. Ngoma, M. C., Kolawole, O., & Zaker Esteghamati, M. (2025). Insights into Susceptibility of Underground Infrastructure to Geohazards Due to Subsurface Urban Heat Island. Sustainable Cities and Society, 106332. [Final]
J17. Pokhrel, A., Sorensen, A. D., & Zaker Esteghamati, M. (2025). A Numerical Investigation of the Performance of Damaged Concrete Barriers Under Sequential Vehicular Impacts. Buildings, 15(8), 1271. [Final]
J16. Zaker Esteghamati, M., Bean, B., Burton, H. V., & Naser, M. Z. (2025). Beyond Development: Challenges in Deploying Machine-Learning Models for Structural Engineering Applications. Journal of Structural Engineering, 151(6), 04025059. [Final]
J15. Zaker Esteghamati, M., Baddipalli, S., (2024). Efficiency and explainability of design‐oriented machine learning models to estimate seismic response, fragility, and loss of a steel building inventory. Structural Dynamics & Earthquake Engineering, 54, 618-647 [Final]
J14. Zaker Esteghamati, M., Gernay, T., Banerji, S.(2023). Evaluating fire resistance of timber columns using explainable machine learning models. Engineering Structures, 116910, [Final]
J13. Zaker Esteghamati, M., Huang, Q.(2023). Evaluating the impact of higher-mode and inelastic dynamic responses of concrete frames on the performance of seismic intensity measures
Structures. Structures, 105029, [Final]
J12. Zaker Esteghamati, M., Flint, M.M.(2023). Do all roads lead to Rome? A comparison of knowledge-based, data-driven, and physics-based surrogate models for performance-based early design. Engineering Structures, 116098 [Final]
J11. Zaker Esteghamati, M., Kottke, A., Rodriguez-Marek, A.(2022). A Data‐Driven Approach to Evaluate Site Amplification of Ground‐Motion Models Using Vector Proxies Derived from Horizontal‐to‐Vertical Spectral Ratios. Bulletin of the Seismological Society of America, [Final]
J10. Zaker Esteghamati, M., (2022).A Holistic Review of GM/IM Selection Methods from a Structural Performance-Based Perspective. Sustainability, [Final]
J9. Zaker Esteghamati, M., Alimohammadi, S.(2022). Reliability-based assessment of progressive collapse in horizontally irregular multi-story concrete buildings. Structures, 44, 159-1606 [Preprint] [Final]
J8. Soleimani-Babakamali, H., Zaker Esteghamati, M. (2022). Estimating seismic demand models of a building inventory from nonlinear static analysis using deep learning methods. Engineering Structures [Preprint] [Final]
J7. Omoya, M., Ero, I., Zaker Esteghamati, M., Burton, H., Brandenberg,S.,Sun,H., Yi, Z., Kang,H., Nweke, C.C. (2022). A relational database to support post-earthquake building damage and recovery assessment. Earthquake Spectra [Final]
J6. Zaker Esteghamati, M., Sharifnia,H., Ton, D., Asiatco, P., Reichard, G., Flint, M.M (2022). Sustainable early design exploration of mid-rise office buildings with different subsystems using comparative life cycle assessment. Journal of Building Engineering [Preprint] Final]
J5. Zaker Esteghamati, M., Flint, M.M (2021). Developing data-driven surrogate models for holistic performance-based assessment of mid-rise RC frame buildings at early design. Engineering Structures [Final]
J4. Zaker Esteghamati, M., Farzampour, A.(2020). Probabilistic seismic performance and loss evaluation of a multi-story steel building equipped with butterfly-shaped fuses. Journal of Construction Steel Research [Preprint] [Final]
J3. Zaker Esteghamati, M., Lee, j., Musetich, M., Flint, M.M.(2020). INSSEPT: An open-source relational database of seismic performance estimation to aid with early design of buildings. Earthquake Spectra [Preprint] [Final]
J2. Tarfan, S., Banazadeh, M., Zaker Esteghamati, M.(2019). Probabilistic seismic assessment of non-ductile RC buildings retrofitted using pre-tensioned aramid fiber reinforced polymer belts. Composite structures, 208, 865-878 [Preprint] [Final]
J1. Zaker Esteghamati, M., Banazadeh, M., Huang, Q.(2018). The effect of design drift limit on the seismic performance of RC dual high‐rise buildings, The Structural Design of Tall and Special Buildings,27(8), e1464 [Preprint] [Final]
Peer-Reviewed Conference Proceedings
C14. Namin, A., Kottke, A., Zaker Esteghamati, M., (2025) Automating ground motion quality assessment using residual neural networks, Geotechnical Engineering for Extreme Events (Geo-Extreme), Long Beach, California [Preprint]
C13. Baddipalli, S., Leavitt, N., Zaker Esteghamati, M., (2025) Influence of Seismic Loss Estimate Methodologies on the Earthquake-related Environmental Impacts of Steel Frame Buildings, 10th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (CompDyn2025), Rhodes Island, Greece [ Preprint]
C12. Zaker Esteghamati, M., Ahmed, M.H., Young, S., Halling, M., (2024) A Multi-task Deep Learning-based Framework for Structural Details and Corrosion Detection, 12th International Conference on Bridge Maintenance, Safety and Management (IABMAS2024), Copenhagen, Denmark [ Final]
C11. Zaker Esteghamati, M., Baddipalli, S., Namin, A., Ahmed, M.H. (2024) A neural network-based computational platform for seismic performance assessment of structures, 18th World Conference on Earthquake Engineering (WCEE2024), Milan, Italy [ Final]
C10. Barth, H., Banerji, S., Adams, M.P., Zaker Esteghamati, M, Sorensen, A., (2023). A data-driven approach to evaluate the mechanical properties of recycled aggregate concrete, ASCE Infrastructure innovation and adaptation for a sustainable and resilient world (INSPIRE), Washington D.C., USA [ Final]
C9. Al Sarfin, M., Banerji, Zaker Esteghamati, M, Sorensen, A., (2023). Development of UHPC Mix Design Based on Specific Performance Criteria Using Machine Learning Techniques, 3rd International interactive symposium on ultra-high performance concrete (UHPC2023), Wilmington, Delaware, USA [ Final]
C8. Zaker Esteghamati, M, Banerji, S., (2023). A machine learning-based approach to evaluate the fire resistance of timber columns, 14th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP14), Dublin, Ireland
C7. Zaker Esteghamati, M (2023). A data-driven framework to support performance-based early design of buildings: data and methodology, 14th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP14), Dublin, Ireland
C6.Anbazhagan, B., Rodriguez-Marek, A., Zaker Esteghamati, M Kottke,A., Abrahamson, A. (2023). Use of Artificial Neural Networks for predicting site response from ambient noise HVSR, ASCE Geo-Risk, Arlington, VA, USA
C5. Zaker Esteghamati, M., Rodriguez-Marek , A., Flint, M.M (2022). Application of surrogate models for performance-based evaluation of multistory concrete buildings at early design, 13th International Conference on Structural Safety & Reliability (ICOSSAR), Shanghai, China [Preprint]
C4. Zaker Esteghamati, M., Rodriguez-Marek , A., Flint, M.M (2022). Application of surrogate models for performance-based evaluation of multistory concrete buildings at early design, 13th International Conference on Structural Safety & Reliability (ICOSSAR), Shanghai, China [Preprint]
C3. Zaker Esteghamati, M., Bahrampouri , M., Rodriguez-Marek, A. (2021). The impact of hazard-consistent ground motion scenarios selection on structural seismic risk estimation, Geotechnical Engineering for Extreme Events (Geo-Extreme2021), Savannah, Georgia, USA [Preprint]
C2. Zaker Esteghamati, M., Farzampour , A.(2020). Probabilistic seismic assessment of a mid-rise eccentrically braced steel frame equipped with butterfly-shaped dampers, 17th World Conference on Earthquake Engineering (17WCEE), Sendai, Japan [Preprint]
C1. Zaker Esteghamati, M., Huang , Q.(2019).An efficient stratified sampling-based ground motion selection for cloud analysis, 13th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP13), Seoul, South Korea [Final]
Technical Reports
T2. Sorensen, A.D., Jiang, J., Zaker Esteghamati, M., (2024) Numerical Evaluation of Precast Columns with Grouted Splice Sleeve Connectors under Sequential Impact and Seismic Loads. Report No. MPC-24-542. Mountain-Plains Consortium. [PDF]
T1. Zaker Esteghamati, M., Flint , M. M.(2019). Inventory of Seismic Structural Evaluations, Performance Functions and Taxonomies for Buildings (INSSEPT) Manual, The Resilient and Sustainable buildings, 26 Pages [Repository] [PDF]
Stochastic Structures 