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