Federico Digiacomo

Federico Digiacomo's picture

Ph.D. candidate in Ingegneria Informatica E Dei Sistemi , 40th cycle (2024-2027)
Department of Control and Computer Engineering (DAUIN)

Docente esterno e/o collaboratore didattico
Department of Control and Computer Engineering (DAUIN)

Profile

PhD

Research topic

AI Based non-invasive vital signs monitoring

Tutors

Research interests

Data science, Computer vision and AI
Life sciences

Biography

Federico Digiacomo is a Ph.D. student at the Department of Control and Computer Engineering (DAUIN) of the Politecnico di Torino, working in the SMILIES research group in collaboration with STMicroelectronics. His research focuses on the design of a robust methodology for continuous monitoring of vital parameters such as heart rate to improve driver health and safety in vehicles, using an NIR camera for remote PPG acquisition.
He holds a Bachelor's degree in Biomedical Engineering and a Master's degree in Biomedical Engineering with a specialisation in eHealth, with a thesis entitled Development and Comparison of ML and DL Models for ECG Anomaly Classification in Wearable Devices. In parallel to his main research topic, he is continuing his thesis project on the collection and analysis of ECG signals to advance AI-driven methods for automatic detection of cardiac anomalies.

Teaching

Teachings

Bachelor of Science

  • Informatica. A.A. 2025/26, INGEGNERIA AEROSPAZIALE. Collaboratore del corso

Research

Research groups

Publications

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