- Earthquake data augmentation using wavelet transform for training deep learning based surrogate models of nonlinear structures. Dans: Structures, v. 55 (septembre 2023). (2023):
- A data-driven physics-informed stochastic framework for hurricane-induced risk estimation of transmission tower-line systems under a changing climate. Dans: Engineering Structures, v. 280 (avril 2023). (2023):
- SVD enabled data augmentation for machine learning based surrogate modeling of non-linear structures. Dans: Engineering Structures, v. 280 (avril 2023). (2023):
- Climate change effects on loss assessment and mitigation of residential buildings due to hurricane wind. Dans: Journal of Building Engineering, v. 69 (juin 2023). (2023):
- Model‐data fusion for seismic performance evaluation of an instrumented highway bridge. Dans: Earthquake Engineering and Structural Dynamics, v. 49, n. 14 (novembre 2020). (2020):
- Model-data fusion for spatial and statistical characterization of soil parameters from geophysical measurements. Dans: Soil Dynamics and Earthquake Engineering, v. 124 (septembre 2019). (2019):
- An efficient PDE-constrained stochastic inverse algorithm for probabilistic geotechnical site characterization using geophysical measurements. Dans: Soil Dynamics and Earthquake Engineering, v. 109 (juin 2018). (2018):