Jawad Fayaz 
- (2024): Statistical evaluation of steel moment frames response under crustal and subduction seismic environments. Dans: Journal of Building Engineering, v. 98 (décembre 2024).
- (2024): Deep learning-based modeling of the cyclic behavior of replaceable fuse buckling-restrained braces (BRBs). Dans: Structures, v. 63 (mai 2024).
- (2023): Flow forecasting for leakage burst prediction in water distribution systems using long short_term memory neural networks and Kalman filtering. Dans: Sustainable Cities and Society, v. 99 (décembre 2023).
- (2023): Assessment of ground motion amplitude scaling using interpretable Gaussian process regression: Application to steel moment frames. Dans: Earthquake Engineering and Structural Dynamics, v. 52, n. 8 (mars 2023).
- (2023): A recurrent-neural-network-based generalized ground-motion model for the Chilean subduction seismic environment. Dans: Structural Safety, v. 100 (janvier 2023).
- (2022): Fragility and vulnerability analysis of deteriorating ordinary bridges using simulated ground‐motion sequences. Dans: Earthquake Engineering and Structural Dynamics, v. 51, n. 13 (25 octobre 2022).
- (2022): A generalized ground-motion model for consistent mainshock–aftershock intensity measures using successive recurrent neural networks. Dans: Bulletin of Earthquake Engineering, v. 20, n. 12 (août 2022).
- (2022): A Bayesian network‐based probabilistic framework for updating aftershock risk of bridges. Dans: Earthquake Engineering and Structural Dynamics, v. 51, n. 10 (août 2022).
- (2023): A deep neural network framework for real‐time on‐site estimation of acceleration response spectra of seismic ground motions. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 38, n. 1 (février 2023).
- (2021): An efficient algorithm to simulate site‐based ground motions that match a target spectrum. Dans: Earthquake Engineering and Structural Dynamics, v. 50, n. 13 (25 octobre 2021).
- (2021): Evaluation of simulated ground motions using probabilistic seismic demand analysis: CyberShake (ver. 15.12) simulations for Ordinary Standard Bridges. Dans: Soil Dynamics and Earthquake Engineering, v. 141 (février 2021).
- (2021): Generalized ground motion prediction model using hybrid recurrent neural network. Dans: Earthquake Engineering and Structural Dynamics, v. 50, n. 6 (mai 2021).
- (2020): Utilization of Site-Based Simulated Ground Motions for Hazard-Targeted Seismic Demand Estimation: Application for Ordinary Bridges in Southern California. Dans: Journal of Bridge Engineering (ASCE), v. 25, n. 11 (novembre 2020).
- (2020): Sensitivity of the response of Box-Girder Seat-type bridges to the duration of ground motions arising from crustal and subduction earthquakes. Dans: Engineering Structures, v. 219 (septembre 2020).
- (2019): Reliability Analysis of Steel SMRF and SCBF Structures Considering the Vertical Component of Near-Fault Ground Motions. Dans: Journal of Structural Engineering (ASCE), v. 145, n. 7 (juillet 2019).
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