Zhang, X., & Noshadravan, A. (2025). Data-Driven Stochastic Approach for Assessing Future Risk of Wave Overtopping in Coastal Defense Structures. Journal of Engineering Mechanics, 151(8), 04025031, https://doi.org/10.1061/jenmdt.emeng-8318

• Zhang, X., & Noshadravan, A. (2023). Efficient Lifecycle Reliability Assessment of Offshore Wind Turbines using Digital Twin. In proceeding of Structural Health Monitoring 2023, Designing SHM for Sustainability, Maintainability, and Reliability.

• Cheng, C. S., Khajwal, A. B., Behzadan, A. H., & Noshadravan, A. (2023). A Probabilistic Crowd–AI Framework for Reducing Uncertainty in Postdisaster Building Damage Assessment. Journal of Engineering Mechanics, 149(9), 04023059.

• Khajwal, A. B., & Noshadravan, A. (2020). Probabilistic hurricane wind-induced loss model for risk assessment on a regional scale. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 6(2), 04020020

• Khajwal, A. B.*, & Noshadravan, A (2024). Enhancing Post-Hurricane Regional Loss Assessment with Crowdsourcing: A Probabilistic Inference Approach, International Journal of Disaster Risk Reduction, 107, 104456. 

• Khajwal, A. B., & Noshadravan, A. (2021). An uncertainty-aware framework for reliable disaster damage assessment via crowdsourcing. International Journal of Disaster Risk Reduction, 55, 102110

• Our research featured in DesignSafe 

Published papers: 

• Cheng, C. S., Behzadan, A. H., & Noshadravan, A. (2021). Deep learning for post‐hurricane aerial damage assessment of buildings. Computer‐Aided Civil and Infrastructure Engineering

• Cheng, C. S., Behzadan, A. H., & Noshadravan, A. Uncertainty‐aware convolutional neural network for explainable artificial intelligence‐assisted disaster damage assessment. Structural Control and Health Monitoring, e3019. 

• Khajwal, A. B., Cheng, C. S., & Noshadravan, A. (2022). Post‐disaster damage classification based on deep multi‐view image fusion. Computer‐Aided Civil and Infrastructure Engineering. 

Published data: 

• Kajwal, A. B., Tomotaki L., Cheng, C.- S. & Noshadravan, A. (2022). MV-HarveyNET: A labeled image dataset from Hurricane Harvey for damage assessment of residential houses based on multi-view CNN. DesignSafe-CI. DOI: https://10.17603/ds2-wzac-h261

• Cheng, C.- S., Behzadan, A. H., & Noshadravan, A. (2021). DoriaNET: A Visual Dataset from Hurricane Dorian for Post-disaster Building Damage Assessment. DesignSafe-CI. DOI: https://doi.org/10.17603/ds2-gqvg-qx37

Published papers: 

• Zhang, X., Gulati, J., & Noshadravan, A. (2024). Stochastic Modeling of Crack Growth and Maintenance Optimization for Metallic Components Subjected to Fatigue-induced Failure. ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg, 1-43.

• M. Mishra, V. Keshavarzzadeh, A. Noshadravan (2019), "Reliability-based lifecycle management for corroding pipelines", Journal of Structural Safety, 76: 1-14. 

• Dubey, V., Abedi, S., & Noshadravan, A. (2021). A multiscale modeling of damage accumulation and permeability variation in shale rocks under mechanical loading. Journal of Petroleum Science and Engineering, 198, 108123

• V. Dubey, M. Mashhadian, S. Abedi, A. Noshadravan (2019), "Multiscale Poromechanical Modeling of Shales Incorporating Microcracks", Rock Mechanics and Rock Engineering, 1-23

• M. Mashhadian, S. Abedi, A. Noshadravan (2018), "Probabilistic multiscale characterization and modeling of organic-rich shale poroelastic properties", Acta Geotechnica, 13(4), 781-800 

• V. Dubey, A. Noshadravan (2020). A probabilistic upscaling of microstructural randomness in modeling mesoscale elastic properties of concrete. Computers & Structures, 237, 106272

• ​A. Noshadravan, R. Ghanem (2013), ''A probabilistic mesoscale damage detection in polycrystals using a random matrix approach'', Journal of Intelligent Material Systems and Structures, 24(8), 1007-1017

• ​A. Noshadravan, R. Ghanem, J. Guilleminot, I. Atodaria, P. Peralta (2013), ''Validation of a probabilistic model for mesoscale elasticity tensor of random polycrystal'',  International Journal for Uncertainty Quantification, 3(1). 73-100

• ​​J. Guilleminot, A. Noshadravan, C. Soize, R. Ghanem (2011), ''A probabilistic model for bounded elasticity tensor random fields with application to polycrystalline microstructures'', Computer Methods in Applied Mechanics and Engineering, 200(17), 1637-1648

• Noshadravan, A., Wildnauer, M., Gregory, J., & Kirchain, R. (2013). Comparative pavement life cycle assessment with parameter uncertainty. Transportation Research Part D: Transport and Environment, 25, 131-138.

• Gregory, J. R., Noshadravan, A., Olivetti, E. A., & Kirchain, R. E. (2016). A methodology for robust comparative life cycle assessments incorporating uncertainty. Environmental science & technology, 50(12), 6397-6405.

• Gregory, J. R., Noshadravan, A., Olivetti, E. A., & Kirchain, R. E. (2016). A methodology for robust comparative life cycle assessments incorporating uncertainty. Environmental science & technology, 50(12), 6397-6405.