Visiting PhD student in the research theme: "Biomedical signal processing with Machine Learning techniques for Fall-Risk Estimation and Fall Prediction based on wearable sensors".

PhD student in the research theme: "Data processing using ML techniques for fall detection and prediction".

Fellow researcher in the project: "Machine Learning for Fall Detection and Prediction" from 06/2022 to 10/2022.

Research assistant in the projects:

• "Development and validation of algorithms for the perception, localization, navigation, control and security of electric autonomous vehicles";

• "Development of tools for the elaboration of time series and video streams with application to the precision farming";

• "Models and algorithms for detection and classification of anomalies and faults in time series and signals".

Scholarship for the research projects:

• "Data-Driven Residuals and Bayesian Filtering for Robust Aircraft Sensor Fault Isolation applied to Tecnan P92 aircraft".

• "Implementation and comparison of data-based sensor fault isolation techniques for aircraft systems"

PhD in Bioengineering and Robotics

Research theme: Advanced and Humanoid Robotics.

Professional title of Information Engineer.

Master’s degree cum laude in Computer Engineering and Robotics.

Thesis: Data-Driven Residuals and Bayesian Filtering for Robust Aircraft Fault Isolation.

Bachelor’s degree in Computer Science and Electronic Engineering.

Thesis: Design and Assembly of a UAV below 300 grams with a fixed budget.