Research

TALISMAN - DigiTAL twInS for Monitoring, DiAgnosis, and coNtrol of systems

Collaboration: Poli/USP, UnB, EESC/USP

Probabilistic machine learning for detecting tightening torque

Collaboration: FEMTO-ST, UC San Diego

Uncertainty quantification for robust SHM applications

Collaboration:  NUMERICO - UERJ, UC San Diego

Nonlinear system identification for SHM

Collaboration: UC San Diego, UERJ

Gaussian Process Regression for SHM in Large Structures

Collaboration: Lusofona University, The University of Edinburgh, Chonnam National University

GP-NARX models for delamination detection in composite aircraft structures

Collaboration: Arts et Métiers, Lusofona University, UFMG, CNAM/Paris

Application of transfer learning for reducing training steps in SHM

Collaboration: Lusofona University, UFRJ

Transfer component analysis for compensation of temperature effects and probabilistic machine learning

Lie Symmetries for dynamics

Collaboration: UNIFESSPA