Professor of Engineering Mechanics
Universidade de Brasília, Departamento de Engenharia Mecânica, Campus Universitário Darcy Ribeiro -Asa Norte, Brasília.
Politechnika Bydgoska im. Jana i Jędrzeja Śniadeckich, Faculty of Civil, Environmental Engineering , Bydgoszcz,Poland.
Welcome to my website!
I specialize in dynamic and vibration systems, focusing on the numerical and analytical aspects of frequency- and time-dependent phenomena. My research aims to develop techniques to control and monitor those dynamic systems and structures, that also including mechanical and biomechanical applications.
🎓Areas of interest:
Structural Health Monitoring (SHM), Population-based SHM, Probabilistic digital twin
Dynamic, Vibration, Vibration control, Wave propagation, Signal processing
Metamaterials, programmable, smart, bio-inspiring metamaterial
Bayesian inference, Stochastic methods, Uncertainty quantification
🔬Research on control: Research focuses on smart and programmable metastructures for vibration control in engineering and biomechanical systems, optimizing their performance under dynamic conditions.
🏗️Research in SHM: We employ machine learning and pattern recognition techniques to detect damage in structures, bolted joints, and assess operational conditions. Wave propagation and vibration-based associated stochastic modelling methods are used in the model. Because structures can be similar or near-similar, so Population-based SHM is under development for homogeneous populations to monitor those populations.
🚀Recent Developments: Recently, we have been exploring inverse and physics-enhancing machine learning to uncover complex patterns in dynamic, data-driven systems. This research also has applications in population structural health monitoring and probabilistic digital twins, digital dynamic systems, and biomechanical modelling.
🌐Collaborative Network: Within our research team, we leverage extensive expertise in state-of-the-art numerical, analytical, and data-driven techniques. Our proficiency spans deterministic and probabilistic analysis of dynamic systems, covering both direct and inverse methodologies. We collaborate with experts from Brazil, the UK, France, Italy, Poland, Portugal, and India.
I'm excited to connect and collaborate with fellows in this multidisciplinary field.
Dynamic and vibration:
dynamic system modelling,
vibroacoustic,
vibration control,
signal processing,
mechanical, biomechanical systems
acoustic and mechanical metamaterial (Programmable, bio-inspired, lattice metamaterial)
Structural health monitoring
vibration
multiphysics
wave propagation
Machine learning applied to system dynamics and SHM
SHM, Inverse design, inverse system identification
Transfer learning
Physics informs machine learning
Deep learning
Generative adversative network
Autoencoder
Uncertainty quantification and stochastic model applied in dynamic systems
Vibration
Dynamic
SHM
Structural health monitoring; Uncertainty quantification; Stochastic modelling; Dynamic analyses; Structural Vibration; Vibration Control; Smart metamaterial; Wave propagation; Structural mechanics; Programmable metamaterial.