Publications

Journal Articles · Conference Papers · Book Chapters

Publications

Journal Articles

  1. Fayaz, J., Torres, P., Medalla, M., and Xiang, Y. (invited-revision). "Statistical Evaluation of Deep Learning-Based Generalized Ground Motion Models – From Probabilistic Seismic Hazard Analysis to Structural Fragility Analysis", Soil Dynamics and Earthquake Engineering (IF=4.8).
  2. Rapp, M. and Fayaz, J. (accepted). "Uncertainty-Aware Water Demand Forecasting and Leakage Early Warning with Temporal Fusion Transformers and Bayesian Model Fusion", Smart and Sustainable Built Environment (IF=4.8).
  3. Cagua, B., O'Reilly, G., Fayaz, J., and Astroza, R. (accepted). "Optimal Intensity Measures for Fragility Assessment of Bridge Components under Mainshock–Aftershock Seismic Sequences in Subduction Zones", Bulletin of Earthquake Engineering (IF=4.3).
  4. Guevara, P., Fayaz, J., and Astroza, R. (2026). "Structural Health Monitoring of Wind Turbine Blades by Ice Mass Accumulation Prediction Using Convolutional Neural Networks", Structural Health Monitoring (IF=5.7), Vol. 2026, Article 6223871. See Article
  5. Cagua, B., Fayaz, J., and Astroza, R. (2026). "Seismic Fragility Analysis considering Mainshock-Aftershock Sequences: Application to Chilean Highway Bridges", Engineering Structures (IF=6.4), Vol. 360, Article 122788. See Article
  6. Fayaz, J., McMillan, L., Cardenas, V., and Varga, L. (2026). "Real-Time Weather-Adaptive Water Flow and Leakage Forecasting using an Explainable Unified Deep Neural Network", Applied Soft Computing (IF=7.8). See Article
  7. Wright, A. and Fayaz, J. (2026). "Structured Generative Modelling of Earthquake Response Spectra with Hierarchical Latent Variables in Hyperbolic Geometry", Nature Scientific Reports (IF=4.9). See Article
  8. Fayaz, J., Pinto, F., Astroza, R., and Pasten, C. (2025). "A Long Short-Term Memory Framework for Surface Intensity Prediction using Source and Borehole Parameters for Improved Seismic Hazard Assessment", Georisks (IF=4.8). See Article
  9. Pinto, F., Torres, C., Birrell, M., Li, Y., Fayaz, J., and Astroza, R. (2025). "Probabilistic Characterization of Inherent and Epistemic Geotechnical Uncertainty in Soil Constitutive Models using Polynomial Chaos Expansion and Monotonic Drained Triaxial", Computer and Geotechnics (IF=6.2), Vol. 186, Article 107361. See Article
  10. Fayaz, J., Astroza, R., and Ruiz, S. (2025). "An Interpretable and Domain-Informed Real-Time Hybrid Earthquake Early Warning for Ground Shaking Intensity Prediction", Engineering (IF=12.2), Vol. 9. See Article
  11. Samadian, D., Fayaz, J., Muhit, I., and Dawood, N. (2025). "Structural Failure Analysis with CMS-based Ground Motion Selection using Innovative Cost Function and Weight Factors", Earthquake Engineering and Engineering Vibration (IF=2.6), Vol. 23. See Article
  12. Samadian, D., Muhit, I., Occhipinti, A., Fayaz, J., and Dawood, N. (2025). "Surrogate Models for Seismic and Pushover Response Prediction of Steel Special Moment Resisting Frames", Engineering Structures (IF=6.4), Vol. 314, Article 119936. See Article
  13. Samadian, D., Fayaz, J., Muhit, I. B., Occhipinti, A., and Dawood, N. (2025). "Meta Databases of Steel Frame Buildings for Surrogate Modelling and Machine Learning-Based Feature Importance Analysis", Resilient Cities and Structures (IF=3.2), Vol. 4, Issue 1. See Article
  14. Torres, P., Fayaz, J., and Medalla, M. (2024). "Statistical Evaluation of the Seismic Response of Steel Moment Frames under Different Earthquake Environments", Journal of Building Engineering (IF=8.1), Vol. 98, Article 111395. See Article
  15. Fayaz, J. and Galasso, C. (2024). "Interpretability and Spatial Efficacy of Deep Learning-based On-Site Early Warning Framework using Explainable Artificial Intelligence and Geographically Weighted Random Forests", Geoscience Frontiers (IF=12.7), Vol. 15, Issue 5, Article 101839. See Article
  16. Sagheer, A., Al Hamaydeh, M., Fayaz, J., and Al-Sadoon, Z. A. (2024). "Deep Learning-Based Modeling of the Cyclic Behavior of Replaceable Fuse Buckling-Restrained Braces (BRBs) Structures", Structures (IF=4.3), Vol. 63, Article 106484. See Article
  17. McMillan, L., Fayaz, J., and Varga, L. (2024). "Health Monitoring of Water Distribution Systems through Leakage Detection using Domain-informed Neural Networks and Support Vector Machines", Water Research (IF=12.8), Vol. 249, Article 120983. See Article
  18. Fayaz, J., Astroza, R., Angione, C., and Medalla, M. (2024). "Data-Driven Analysis of Crustal and Subduction Seismic Environments using Interpretation of Deep Learning-based Generalized Ground Motion Models", Expert Systems with Application (IF=9.4), Vol. 238, Article 121731. See Article
  19. McMillan, L., Fayaz, J., and Varga, L. (2023). "Flow Forecasting for Leakage Burst Prediction in Water Distribution Systems using Long Short-Term Memory Neural Networks and Kalman Filtering", Sustainable Cities and Society (IF=13.3), Vol. 99, Article 104934. See Article
  20. Fayaz, J., Torres, P., Medalla, M., and Naeim, F. (2023). "Assessment of Ground Motion Amplitude Scaling using Interpretable Gaussian Process Regression: Application to Steel Moment Frames", Earthquake Engineering and Structural Dynamics (IF=4.9), Vol. 8, Issue 8. See Article
  21. Fayaz, J., Medalla, M., Torres, P., and Galasso, C. (2023). "A Recurrent-Neural-Network-Based Generalized Ground-Motion Model for the Chilean Subduction Seismic Environment", Structural Safety (IF=5.7), Vol. 100, Article 102282. See Article
  22. Fayaz, J. and Galasso, C. (2023). "A Deep Neural Network Framework for Real-Time On-Site Estimation of Acceleration Response Spectra of Seismic Ground Motions", Computer Aided Civil and Infrastructure Engineering (IF=9.2), Vol. 38, Issue 1. See Article
  23. Otarola, K., Fayaz, J., and Galasso, C. (2022). "Fragility and Vulnerability Analysis of Deteriorating Ordinary Bridges under Simulated Ground Motion Sequences", Earthquake Engineering and Structural Dynamics (IF=4.9), Vol. 51, Issue 13. See Article
  24. Fayaz, J. and Galasso, C. (2022). "A Generalized Ground-Motion Model for Consistent Mainshock-Aftershock Intensity Measures using Successive Recurrent Neural Networks", Bulletin of Earthquake Engineering (IF=3.8), Vol. 20. See Article
  25. Tubaldi, E., Turchetti, F., Ozer, E., Fayaz, J., Gehl, P., and Galasso, C. (2022). "A Bayesian Network-Based Probabilistic Framework for Updating Aftershock Risk of Bridges", Earthquake Engineering and Structural Dynamics (IF=4.9), Vol. 51, Issue 10. See Article
  26. Fayaz, J. and Zareian, F. (2021). "An Efficient Algorithm to Simulate Site-Based Ground Motions that match a Target Spectrum", Earthquake Engineering and Structural Dynamics (IF=4.9), Vol. 50, Issue 13. See Article
  27. Fayaz, J., Rezaeian, S., and Zareian, F. (2021). "Evaluation of Simulated Ground Motions using Probabilistic Seismic Demand Analysis: CyberShake (ver. 15.12) Simulations for Ordinary Standard Bridges", Soil Dynamics and Earthquake Engineering (IF=4.6), Vol. 141. See Article
  28. Fayaz, J., Azar, S., Dabaghi, M., and Zareian, F. (2021). "An Efficient Algorithm to Simulate Hazard-Targeted Site-Based Synthetic Ground Motions", Earthquake Spectra (IF=3.7), Vol. 37, Issue 2. See Article
  29. Fayaz, J., Xiang, Y., and Zareian, F. (2020). "Generalized Ground Motion Prediction Model Using Hybrid Neural Networks", Earthquake Engineering and Structural Dynamics (IF=4.9), Vol. 50, Issue 6. See Article
  30. Fayaz, J., Azar, S., Dabaghi, M., and Zareian, F. (2020). "Methodology for Validation of Simulated Ground Motions for Seismic Response Assessment: Application to Cybershake Source-Based Ground Motions", Bulletin of the Seismological Society of America (IF=2.9), Vol. 111, Issue 1. See Article
  31. Fayaz, J., Dabaghi, M., and Zareian, F. (2020). "Utilization of Site-Based Simulated Ground Motions for Hazard-Targeted Seismic Demand Estimation: application for Ordinary Bridges in Southern California", Journal of Bridge Engineering (IF=3.1), Vol. 25, Issue 11. See Article
  32. Fayaz, J., Riquelme, M., and Zareian, F. (2020). "Sensitivity of The Response of Box-Girder Seat-Type Bridges to the Duration of Ground Motions arising from Crustal and Subduction Earthquakes", Engineering Structures (IF=6.4), Vol. 219, Article 110845. See Article
  33. Torres, P., Fayaz, J., and Zareian, F. (2020). "Strength Resistance Factors for Seismic Design of Exposed Based Plate Connections in Special Steel Moment Resisting Frames", Earthquake Spectra (IF=3.7), Vol. 36, Issue 2. See Article
  34. Fayaz, J. and Zareian, F. (2019). "Reliability Analysis of Steel SMRF and SCBF Structures Considering the Vertical Component of Near-Fault Ground Motions", Journal of Structural Engineering (IF=3.7), Vol. 145, Issue 7. See Article
  35. Fayaz, J., Adarsha, C. Y., Raghavendra, T., Natarajan, K., and Udayashankar, B. C. (2019). "Structural Behavior of Concrete Beams and Columns Reinforced With Waste Plastic Incorporated Glass Fibre Reinforced Polymer Rebars", Journal of Building Engineering (IF=8.1), Vol. 23. See Article
  36. Raghavendra, T., Siddanagouda, H., Fayaz, J., Adarsha, C. Y., and Udayashankar, B. C. (2018). "Mitigation of H2S Emissions by Recycling Discarded Gypsum Wall Boards in CLSM", Global Journal of Researches in Engineering (IF=1.7), Vol. 18, Issue 1-E. See Article

Conference Proceedings

  1. Cagua, B., Fayaz, J., and Astroza, R. (2026). "Fragility Assessment of a Chilean Highway Bridge under Mainshock-Aftershock Sequences", 13th National Conference on Earthquake Engineering (NCEE), Portland, USA. See Article
  2. Guevara, P., Fayaz, J., and Astroza, R. (2025). "A Deep Neural Network Framework for the Prediction of Ice Mass Accumulation on Wind Turbine Blades", XI ECCOMAS Thematic Conference on Smart Structures and Materials (SMART), Linz, Austria. See Article
  3. Ray, E. and Fayaz, J. (2025). "A Spatio-Vectorial Graph Neural Network Model for Predicting Earthquake Intensity Measures (SV-MEIM) at Unsensored Locations", 10th International Conference on Computational Methods in Structural Dynamics & Earthquake Engineering (COMPDYN), Rhodes, Greece. See Article
  4. Fayaz, J. (2025). "Advancing Earthquake Early Warning with Spatial Efficacy Analysis and Explainable AI: Insights from ROSERS in Subduction Zones", 10th International Conference on Computational Methods in Structural Dynamics & Earthquake Engineering (COMPDYN), Rhodes, Greece. See Article
  5. Fayaz, J., Torres, P., Medalla, M., and Xiang, Y. (2025). "Statistical Evaluation of Deep Learning-based Generalized Ground Motion Models - From Probabilistic Seismic Hazard Analysis to Structural Response Analysis: Application to Subduction Environments", 10th International Conference on Computational Methods in Structural Dynamics & Earthquake Engineering (COMPDYN), Rhodes, Greece. See Article
  6. Fayaz, J., Varga, L., and Xiang, Y. (2025). "Towards Resilient Water Networks and Proactive Water Management: A Holistic Machine Learning Framework for Forecasting, Detection, and Localization of Leakages", 14th International Conference on Structural Safety and Reliability (ICOSSAR), Los Angeles, USA. See Article
  7. Fayaz, J., Torres, P., Medalla, M., and Xiang, Y. (2025). "Statistical application of deep learning-based generalized ground motion models – from probabilistic seismic hazard analysis to structural fragility analysis", 14th International Conference on Structural Safety and Reliability (ICOSSAR), Los Angeles, USA. See Article
  8. Fayaz, J. and Zsarnóczay, Á. (2024). "Domain-Informed Bayesian Neural Networks based Structural Demand Surrogate Models for Steel Moment Frames", 18th World Conference on Earthquake Engineering (WCEE), Milan, Italy. See Article
  9. Fayaz, J., Astroza, R., and Ruiz, S. (2024). "A Hybrid Deep Learning and Bayesian Updating Based Regional Earthquake Early Warning Framework", 18th World Conference on Earthquake Engineering (WCEE), Milan, Italy. See Article
  10. Fayaz, J., Astroza, R., and Medalla, M. (2023). "REWERS: A Regional Early Warning Framework for Estimating Response Spectra", 14th International Conferences on Applications of Statistics and Probability in Civil Engineering (ICASP), Dublin, Ireland. See Article
  11. Torres, P., Fayaz, J., and Medalla, M. (2023). "Sensitivity Analysis of the Seismic Response of Steel Moment Frames under Different Earthquake Mechanisms", 12th International Conference on Structural Dynamics (EURODYN), Delft, Netherlands. See Article
  12. Fayaz, J., Astroza, R., and Medalla, M. (2022). "REWERS: A Deep-Learning-Based Regional Early Warning Framework for Estimating Response Spectra", Interdisciplinary Group of Seismic Hazard, Santiago, Chile.
  13. Fayaz, J. (2022). "ROSERS - A Deep Learning Framework for Earthquake Early Warning and its Interpretation", 17th Symposium on Earthquake Engineering, Roorkee, India. See Article
  14. McMillan, L., Fayaz, J., and Varga, L. (2022). "Machine-Learning-Based Health Monitoring and Leakage Management of Water Distribution Systems", International Conference on Evolving Cities, Southampton, UK. See Article
  15. Fayaz, J. and Galasso, C. (2022). "ROSERS: Real-time On-Site Estimation of Response Spectra", 12th National Conference on Earthquake Engineering (NCEE), Salt Lake City, USA. See Article
  16. Fayaz, J. and Galasso, C. (2022). "A Generalized Ground Motion Model for consistent Mainshock-Aftershock Ground Motion Intensity Measures using Deep Neural Networks", 12th National Conference on Earthquake Engineering (NCEE), Salt Lake City, USA. See Article
  17. Fayaz, J., Medalla, M., Torres, P., and Galasso, C. (2022). "A Deep Learning based Generalized Ground Motion Model for the Chilean Subduction Seismic Environment", 12th National Conference on Earthquake Engineering (NCEE), Salt Lake City, USA. See Article
  18. Otarola, K., Fayaz, J., and Galasso, C. (2022). "Fragility Analysis of Deteriorating Bridge Components Subjected to Simulated Ground-Motion Sequences", 12th National Conference on Earthquake Engineering (NCEE), Salt Lake City, USA. See Article
  19. Zareian, F., Rezaeian, S., and Fayaz, J. (2020). "Progress and Challenges in Validation of Simulated Earthquake Ground Motions for Engineering Practice", AGU Fall Meeting, Virtual. See Article
  20. Fayaz, J., Xiang, Y., and Zareian, F. (2020). "Ground Motion Spectral Estimation using Recurrent Neural Network", 17th World Conference on Earthquake Engineering (WCEE), Sendai, Japan. See Article
  21. Fayaz, J., Dabaghi, M., and Zareian, F. (2020). "Guidelines for Utilization of Site-Based Simulated Ground Motions for Performance-Based Earthquake Engineering of Ordinary Bridges", 17th World Conference on Earthquake Engineering (WCEE), Sendai, Japan. See Article
  22. Cardoni, A., Fayaz, J., Cimellaro, G. P., and Zareian, F. (2020). "Utilizing Simulated Ground Motions to Quantify Highway Network Performance during Moderate Seismic Events", 17th World Conference on Earthquake Engineering (WCEE), Sendai, Japan. See Article
  23. Fayaz, J., Xiang, Y., and Zareian, F. (2019). "Performance Assessment of Bridges Under a Sequence of Seismic Excitations", 7th International Conference on Computational Methods in Structural Dynamics & Earthquake Engineering (COMPDYN), Crete, Greece. See Article
  24. Fayaz, J., Dabaghi, M., and Zareian, F. (2019). "Probabilistic Analytical Benchmarking of Source-Based and Site-Based Ground Motion Simulation Models", 13th International Conferences on Applications of Statistics and Probability in Civil Engineering (ICASP), Seoul, South Korea. See Article
  25. Fayaz, J., Riquelme, M., and Zareian, F. (2019). "Sensitivity of The Response of Box-Girder Seat-Type Bridges to the Duration of Ground Motions Arising from Subduction Earthquakes", XII Chilean Conference on Seismology and Earthquake Engineering (ACHISINA), Valdivia, Chile. See Article
  26. Raghavendra, T., Siddanagouda, H., Fayaz, J., Adarsha, C. Y., and Udayashankar, B. C. (2016). "Performance of Ternary Binder Blend Containing Cement, Waste Gypsum Wallboards and Blast Furnace Slag in CLSM", International Conference on Sustainable Design, Engineering and Construction (ICSDEC), Tempe, USA. See Article

Posters

  1. Fayaz, J. and Zsarnóczay, Á. (2024). "Domain-Informed Bayesian Neural Networks based Structural Surrogate Models for Seismic Demand Estimation of Steel Moment Framed Buildings". NHERI Computational Symposium, Los Angeles, CA, USA, February 2024. See Poster
  2. Fayaz, J. and Galasso, C. (2022). "A Generalized Ground Motion Model for Consistent Mainshock-Aftershock Ground Motion Intensity Measures using Deep Neural Networks". 12th National Conference on Earthquake Engineering, Salt Lake City, UT, USA, June 2022. See Poster
  3. Fayaz, J., Rezaeian, S., and Zareian, F. (2020). "Method for Evaluation of Simulated Ground Motions Based on Probabilistic Seismic Demand Analysis: Application on CyberShake (15.12) Simulations using Ordinary Standard Bridges". SCEC Annual Meeting, CA, USA, September 2020. See Poster
  4. Fayaz, J., Azar, S., Dabaghi, M., and Zareian, F. (2020). "Validation and Utilization of Physics-Based Simulated Ground Motions for Bridge Performance Assessment". PEER Annual Meeting, Berkeley, CA, USA, January 2020. See Poster
  5. Fayaz, J. and Zareian, F. (2018). "Reliability Analysis of Steel SMRF and SCBF Structures considering the Vertical Component of Near-Fault Ground Motions". PEER Annual Meeting, Berkeley, CA, USA, January 2018. See Poster

Book Chapters

  1. Raghavendra, T., Fayaz, J., Gurunandan, M., and Vageesh, H. P. (2021). "Application of fly ash in flowable fills and self-compacting concretes". Handbook of Fly Ash, 1st Edition, Elsevier. See Book

Patent

Fayaz, J., Adarsha, C. Y., Raghavendra, T., Natarajan, K., and Udayashankar, B. C. "Waste Plastic Incorporated Fiber Reinforced Polymer Bars", Indian Patent #354719, Granted Dec 2020. See Certificate