- Seismic risk prioritization of masonry building stocks using machine learning. In: Earthquake Engineering and Structural Dynamics. :
- State-of-the-art review on measurement techniques and numerical modeling of geometric imperfections in cold-formed steel members. In: Journal of Constructional Steel Research, v. 207 (August 2023). (2023):
- Experimental investigation on lateral behavior of novel hybrid cold-formed steel walls with composite sheathing. In: Journal of Constructional Steel Research, v. 202 (March 2023). (2023):
- Experimental and numerical study on flexural behaviour of cold-formed steel hat-shaped beams with geometrical imperfections. In: Journal of Constructional Steel Research, v. 202 (March 2023). (2023):
- Automated Geometric Imperfection Detection and Quantification of CFS Members from Point Clouds. In: KSCE Journal of Civil Engineering, v. 26, n. 9 (1 August 2022). (2022):
- (2022): A Framework for Automated Bridge Inspections and Assessments with Visual Sensing Technology. Presented at: IABSE Symposium: Challenges for Existing and Oncoming Structures, Prague, Czech Republic, 25-27 May 2022.
- Camera-Based Imperfection Determination of Cold-Formed Steel Members. Presented at: Structures Congress 2019, Orlando, Florida, 24-27 April 2019. (2019):
- Using extracted member properties for laser‐based surface damage detection and quantification. In: Structural Control and Health Monitoring, v. 27, n. 11 (4 October 2020). (2020):
- Laser-based surface damage detection and quantification using predicted surface properties. In: Automation in Construction, v. 83 (November 2017). (2017):