Data Compression
Analysis, application and development of Signal processing techniques for data compression applied to vibration-based structural assessment
- Compressed sensing
- Adapted CS: Model Assisted Rakeness-based Compressed Sensing
- Wavelet Packet Transform
- Autoregressive models
System Identification
Analysis, application and development of strategies for the reconstruction of structural properties for structures in dynamic regime
- Time-domain analysis
- Frequency-domain analysis: parametric and non-parametric methods
- Operational Modal Analysis
- Modal features reconstruction
Graph Signal Processing
Adoption of graph-based signal representation for mode shapes retrieval in multiple, non-simultaneous measurements in vibration-based monitoring
Edge Computing/Tiny Machine Learning
Implementation of machine learning models, CS techniques and autoregressive models at the extreme edge for sensor-near data inference
- Tiny Machine Learning
- Parametric system identification @edge
- Compressed Sensing @edge
- Neural Architecture Search
- Compression-Accuracy Co-optimization
Guided Wave-based Data Communication
Application of standard communication schemes to acoustic data communication exploiting the mechanical wave as a form of communication content and the mechanical channel as a form of communication medium
- CDMA modulation scheme
- FDM and OFDM modulation scheme
- Time Reversal, Pulse Position Modulation
- Frequency Steerable Acoustic Transducers
Acoustic Emission-based Monitoring
Application of artificial intelligence model to the estimation of acoustic features for the damage detection and localization of cracking phenomena
- Time of Arrival localization with ML/DL architectures
