Ph.D. candidate in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 38th cycle (2022-2025)
Department of Electronics and Telecommunications (DET)
Profile
PhD
Research topic
Machine Learning Enhanced Analysis of ECG and Clinical Data
Tutors
Research presentation
Research interests
Biography
He earned a master’s degree in Astrophysics at the University of Turin, with the thesis “Bounds on ultra-light axions from the neutral hydrogen auto-correlation function”. The aim of this thesis is to set limits on certain aspects of dark matter by assuming that a part of it is composed of ultra-light axions (ULAs).
His current line of research involves using machine learning/deep learning and artificial intelligence methods to improve the analysis of medical data.
The main research topics Federico Delrio is working on are as follows:
- Non-Invasive Arterial Blood Pressure Estimation from Electrocardiogram and Photoplethysmography Signals Using a Conv1D-BiLSTM Neural Network: This research consists of finding a non-invasive method for measuring arterial blood pressure using neural networks starting from ECG and possibly PPG as inputs.
- Enhancing ECG Analysis with a Hybrid Deep Learning Approach: Automatic Detection of Significant Features: This research aims to use neural networks to identify the main features of the ECG, such as the length of the QRS complex, P wave, and T wave.
- Transformer interpretability: The interpretability of artificial intelligence models is still an open problem; therefore, this research is aimed at developing a new type of Transformer that is more easily interpretable.
Teaching
Teachings
Master of Science
- Electronic systems engineering. A.A. 2024/25, INGEGNERIA ELETTRONICA (ELECTRONIC ENGINEERING). Collaboratore del corso
- Electronic systems engineering. A.A. 2023/24, INGEGNERIA ELETTRONICA (ELECTRONIC ENGINEERING). Collaboratore del corso
- Challenge@PoliTo by Students - Silver Economy. A.A. 2022/23, INGEGNERIA GESTIONALE (ENGINEERING AND MANAGEMENT). Collaboratore del corso
Bachelor of Science
- Fondamenti di elettronica di potenza. A.A. 2024/25, INGEGNERIA ELETTRICA. Collaboratore del corso
- Fondamenti di elettronica di potenza. A.A. 2023/24, INGEGNERIA ELETTRICA. Collaboratore del corso
Publications
Latest publications View all publications in Porto@Iris
- Delrio, Federico; Randazzo, Vincenzo; Cirrincione, Giansalvo; Pasero, Eros (2025)
Physics Informed Neural Network for Continuous and Cuffless Arterial Blood Pressure. In: 2025 IEEE International Conference on Artificial Intelligence for Learning and Optimization (ICoAILO), Bali (Idn), 07-09 August 2025, pp. 143-148. ISBN: 979-8-3315-6928-0
Contributo in Atti di Convegno (Proceeding) - Delrio, F.; De Vitis, V.; Caligari, S.; Randazzo, V.; Cirrincione, G.; Pasero, E. (2025)
Enhancing ECG Analysis with a Hybrid Deep Learning Approach: Automatic Detection of Significant Features. In: Smart Innovation, Systems and Technologies / Esposito A., Faundez-Zanuy M., Morabito F. C., Pasero E., Cordasco G., Singapore, Springer Nature, pp. 23-33. ISBN: 9789819609932
Contributo in Volume - Randazzo, Vincenzo; Buccellato, Pietro; Ferretti, Jacopo; Delrio, Federico; Pasero, Eros (2024)
PulsECG - A Cuffless Non-Invasive Blood Pressure Monitoring Device through Neural Network Analysis of ECG and PPG signals. In: 2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON), Oporto (Portogallo), 25-27 June 2024, pp. 1030-1035. ISSN 2158-8481. ISBN: 979-8-3503-8702-5
Contributo in Atti di Convegno (Proceeding) - Delrio, Federico; Randazzo, Vincenzo; Cirrincione, Giansalvo; Pasero, Eros (2023)
Non-Invasive Arterial Blood Pressure Estimation from Electrocardiogram and Photoplethysmography Signals Using a Conv1D-BiLSTM Neural Network. In: ENGINEERING PROCEEDINGS, vol. 39. ISSN 2673-4591
Contributo su Rivista - Morra, Lia; Azzari, Alberto; Bergamasco, Letizia; Braga, Marco; Capogrosso, Luigi; ... (2023)
Designing Logic Tensor Networks for Visual Sudoku puzzle classification. In: 17th International Workshop on Neural-Symbolic Learning and Reasoning (NeSy 2023), Certosa di Pontignano, Siena (Italia), July 3-5, 2023, pp. 223-232. ISSN 1613-0073
Contributo in Atti di Convegno (Proceeding)