2024

• Liu, Z., M. L. Carr, N. C. Nadal-Caraballo, M. C. Yawn, A. A. Taflanidis, and M. Bensi. (2024). “Machine Learning Motivated Data Imputation of Storm Data Used in Coastal Hazard Assessments.” Coastal Engineering, 190. https://doi.org/10.1016/j.coastaleng.2024.104505.
• Liu, Z., M. L. Carr, N. C. Nadal-Caraballo, L. A. Aucoin, M. C. Yawn, and M. Bensi. 2024b. “Comparative Analysis of Joint Distribution Models for Tropical Cyclone Atmospheric Parameters in Probabilistic Coastal Hazard Analysis.” Stochastic Environmental Research and Risk Assessment, 38: 1741–1767. https://doi.org/10.1007/s00477-023-02652-5.

2023

• Faraji Najarkolaie, K., M. Bensi, R. Dadmun, C. Romolt, Y. Saddat, N. Louissaint (2023), “Expanding Vulnerability Indices for Pandemic Effects.” Natural Hazards Review (ASCE). [https://doi.org/10.1061/NHREFO.NHENG-1575]   
• Al Kajbaf, A. M. Bensi, K. Brubaker (2023), “Drivers of Uncertainty in Precipitation Frequency under Current and Future Climate – Application to Maryland, USA.” Journal of Hydrology, v.617(Part A). [https://doi.org/10.1016/j.jhydrol.2022.128775]
• DeJesus Segarra, J., M. Bensi, M. Modarres (2023), “Multi-Unit Seismic Probabilistic Risk Assessment: A Bayesian Network Perspective.” Reliability Engineering and System Safety, v.234. [https://doi.org/10.1016/j.ress.2023.109169]
• Mohammadi, S., M.T. Bensi; S. Kao; S. T. DeNeale; J. Kanney; E. Yegorova; M. L. Carr (2023), “Bayesian-Motivated Approach for Assessment of Hurricane-Induced Multi-Mechanism (Compound) Floods.” J. Waterway, Port, Coastal, and Ocean Engrg [https://ascelibrary.org/doi/abs/10.1061/JWPED5.WWENG-1921].

2022

• Li, Lingyao, Zhao, Z. Ma, M. Bensi, M. Hall, G. Baecher (2022). “Dynamic assessment of the COVID-19 vaccine acceptance leveraging social media data.” Journal of Biomedical Informatics, v.129. [https://doi.org/10.1016/j.jbi.2022.104054]
• Al Kajbaf, A., M.Bensi. K. Brubaker (2022), “Temporal Downscaling of Precipitation from Climate Model Projections using Machine Learning.” Stochastic Environmental Research and Risk Assessment, v.36. [https://doi.org/10.1007/s00477-022-02259-2]
• Faraji Najarkolaie, K., M. Bensi, A. Reilly (2022), “Near-Term and Long-Term Inundation Risk Insights for Contaminated Sites in the U.S.” Journal of Hazardous, Toxic, and Radioactive Waste (ASCE), v.27(1). [https://doi.org/10.1061/(ASCE)HZ.2153-5515.0000728]
• Breithaupt, S., M. Bensi, A. Copping (2022), “AIS-Based Characterization of Navigation Conflicts along the US Atlantic Coast prior to Development of Wind Energy.” Ocean Engineering, v.264. [https://doi.org/10.1016/j.oceaneng.2022.112235]
• Ryoo, S., M.T. Bensi, and A.H. Aydilek (2022), “Hydraulic Compatibility Assessment of Nonwoven Conical Filters with a Backfill Material by a Validated CFD-DEM Model.” Geosynthetics International. [https://doi.org/10.1680/jgein.22.00281]
• Shen, J., M. Bensi, M. Modarres (2022), “Identification and Assessment of Current and Developing PRA Technologies for Risk-Informed-Decision-Making (RIDM)” at Probabilistic Safety Assessment and Management Conference, July 2022, Honolulu, Hawaii.
• Bensi, M., K. Groth, Z. Wu, Z. Ma, R. Schneider, A. Al-Douri, Mohammadi, T. Liu, C. Levine (2022),”Identifying and Prioritizing Sources of Uncertainty in External Hazard Probabilistic Risk Assessment: Project Activities and Progress” at Probabilistic Safety Assessment and Management Conference, July 2022, Honolulu, Hawaii.
• Bensi, M., S. Mohammadi, N. Ghosh, T. Liu, C. Levine, A. Al-Douri, R. Schneider, Z. Wu, K. Groth, Z. Ma (2022), “Uncertainty in External Hazard Probabilistic Risk Assessment (PRA): A Structured Taxonomy” at Probabilistic Safety Assessment and Management Conference, July 2022, Honolulu, Hawaii.
• Mohammadi, S., M.Bensi, Z. Ma, and K. Faraji Najarkolaie (2022),”Uncertainty in Predicted Tropical Cyclone Path and Landfall Characteristics for Landfalling Storms to Support External Hazard Probabilistic Risk Assessments for Critical Infrastructure – A Preliminary Analysis” at Probabilistic Safety Assessment and Management Conference, July 2022, Honolulu, Hawaii.

2021

• Lee, J.-W., J. L. Irish, M.T. Bensi, D. C. Marcy (2021), “Rapid prediction of peak storm surge from tropical cyclone track time series using machine learning,” Coastal Engineering. [https://doi.org/10.1016/j.coastaleng.2021.104024]
• Gibson, E. and M. Bensi (2021), “Spatial Correlation in Ground Motion Prediction Errors in Central and Eastern North America.” Earthquake Spectra. [https://journals.sagepub.com/doi/full/10.1177/87552930211034886]
• Lingyao, L., M. Bensi, Q. Cui, G. Baecher, and Y. Huang (2021), “Social media crowd-sourcing for rapid damage assessment following sudden-onset natural hazard events.” International Journal of Information Management. [https://doi.org/10.1016/j.ijinfomgt.2021.102378]
• DeJesus Segarra, J., M. Bensi, M. Modarres (2021), “A Bayesian Network Approach for Modeling Dependent Seismic Failures in a Nuclear Power Plant Probabilistic Risk Assessment.” Reliability Engineering and System Safety. [https://doi.org/10.1016/j.ress.2021.107678]
• Al Kajbaf, A. and M. Bensi (2021), “Assessment of Uncertainty in Regional and At-site Precipitation Frequency Analysis for the Localized Region of Ellicott City, Maryland.” Natural Hazards. [https://link.springer.com/article/10.1007/s11069-021-04786-7]
• Bensi, M., S. Mohammadi, S. Kao, and S. Deneale (2021). “Multi-Mechanism Flood Hazard Assessment: Example Use Case Studies,” ORNL/TM-2021/2231. [https://doi.org/10.2172/1826019]
• Shen, J., M.Bensi, M. Modarres (2021), “Review of Operating Experience and Fragility Development During Flooding Incidents at Nuclear Power Stations,” Proceedings of 2021 International Topical Meeting on Probabilistic Safety Assessment and Analysis (PSA 2021), Nov. 8-12 [Virtual].
• Garcia, Sergio; Ghosh, Nilanjana; Bensi, Michelle (2021) “Leveraging digital news to create databases of the impacts of small, medium and, large disasters.” DesignSafe-CI. https://doi.org/10.17603/ds2-29ee-1862.
• García Mejía, S. A. (2021). Building Resilience Or Building Fragility? Understanding Disaster Resilience Patterns in Guatemala through the Analysis of Disaster Datasets in Connection with Population and Housing Data [Thesis]. https://doi.org/10.13016/eyvu-auxr

2020

• Bensi, M. and T. Weaver (2020), “Evaluation of Tropical Cyclone Recurrence Rate: Factors Contributing to Epistemic Uncertainty,” Natural Hazards, 103 (3). [https://link.springer.com/article/10.1007/s11069-020-04117-2]
• Owen, D., M. Bensi, A. Davis, A. Aydilek (2020), “Measuring soil coverage using image feature descriptors and the decision tree learning algorithm,” Biosystems Engineering, 196. [https://doi.org/10.1016/j.biosystemseng.2020.06.002]
• Bensi, M. and K. Groth (2020), “On the value of data fusion and model integration for generating real-time risk insights for nuclear power reactors,” Progress in Nuclear Energy, 129. [https://doi.org/10.1016/j.pnucene.2020.103497]
• DeJesus Segarra, J., M. Bensi, T. Weaver, M. Modarres (2020), “Extension of Probabilistic Seismic Hazard Analysis to Account for the Spatial Variability of Ground Motions at a Multi-Unit Nuclear Power Plant Hard-Rock Site,” Structural Safety, 85. [https://doi.org/10.1016/j.strusafe.2020.101958]
• Al Kajbaf, A., M. Bensi (2020), “Application of Surrogate Models in Estimation of Storm Surge: A Comparative Assessment,” Applied Soft Computing. [https://doi.org/10.1016/j.asoc.2020.106184]
• Bensi, M., S. Mohammadi, S. Kao, S. DeNeale, “Multi-Mechanism Flood Hazard Assessment: Critical Review of Current Practice and Approaches.” ORNL/TM-2020/1447.  [https://doi.org/10.2172/1637939]