Research
Visit our projects to learn more about our research interests.
DigiTAL twInS for SHM
TALISMAN - DigiTAL twInS for Monitoring, DiAgnosis, and coNtrol of systems
Collaboration: Poli/USP, UnB, EESC/USP
Bolted Joints
Probabilistic machine learning for detecting tightening torque
Collaboration: FEMTO-ST, UC San Diego
Robust DetEction
Uncertainty quantification for robust SHM applications
Collaboration: NUMERICO - UERJ, UC San Diego
Damage Quantification
Gaussian Process Regression for SHM in Large Structures
Collaboration: Lusofona University, The University of Edinburgh, Chonnam National University
Composite Structures
GP-NARX models for delamination detection in composite aircraft structures
Collaboration: Arts et Métiers, Lusofona University, UFMG, CNAM/Paris
Domain Adaptation
Application of transfer learning for reducing training steps in SHM
Collaboration: Lusofona University, UFRJ
ImpEdance-Based SHM
Transfer component analysis for compensation of temperature effects and probabilistic machine learning
Funding
