- Design-focused Interpretable Machine Learning Models for Compressive Capacity Prediction of Gusset Plate Connections. Dans: Engineering Structures, v. 298 (janvier 2024). (2024):
- Machine learning models for predicting concrete beams shear strength externally bonded with FRP. Dans: Structures, v. 53 (juillet 2023). (2023):
- Development of Performance-Based Fragility Curves of Coastal Bridges Subjected to Extreme Wave-Induced Loads. Dans: Journal of Bridge Engineering (ASCE), v. 28, n. 3 (mars 2023). (2023):
- Shape memory alloys (SMAs) for resilient bridges: A state-of-the-art review. Dans: Structures, v. 37 (mars 2022). (2022):
- Data-driven shear strength prediction of steel fiber reinforced concrete beams using machine learning approach. Dans: Engineering Structures, v. 233 (avril 2021). (2021):
- (2020): Seismic Performance Evaluation of Shape Memory Alloy (SMA) Reinforced Concrete Bridge Bents Under Long-Duration Motion. Dans: Frontiers in Built Environment, v. 6 (janvier 2020).