Ph.D. in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 38th cycle (2022-2025)
Ph.D. obtained in 2026
Dissertation:
From Morphology to Physiology: Limits of Data-Driven Learning and Physics-Informed Neural Networks for Cuffless Blood Pressure Estimation
Tutors:
Paolo Bardella Vincenzo Randazzo Eros Gian Alessandro Pasero
Research presentation:
PosterProfile
Research topic
Machine Learning Enhanced Analysis of ECG and Clinical Data
Research interests
Teaching
Teachings
Master of Science
- Challenge@PoliTo by Students - Silver Economy. A.A. 2022/23, INGEGNERIA GESTIONALE (ENGINEERING AND MANAGEMENT). Collaboratore del corso
- Electronic systems engineering. A.A. 2023/24, INGEGNERIA ELETTRONICA (ELECTRONIC ENGINEERING). Collaboratore del corso
- Electronic systems engineering. A.A. 2024/25, INGEGNERIA ELETTRONICA (ELECTRONIC ENGINEERING). Collaboratore del corso
Bachelor of Science
- Fondamenti di elettronica di potenza. A.A. 2023/24, INGEGNERIA ELETTRICA. Collaboratore del corso
- Fondamenti di elettronica di potenza. A.A. 2024/25, INGEGNERIA ELETTRICA. Collaboratore del corso
Publications
Works published during the Ph.D. View all publications in Porto@Iris
- Delrio, Federico; Randazzo, Vincenzo; Cirrincione, Giansalvo; Pasero, Eros (2026)
Toward Non-Invasive Calibration-Free Blood Pressure Estimation: A Physics-Informed Neural Network with Hemodynamic Priors. In: IEEE SENSORS JOURNAL, pp. 1-9. ISSN 1530-437X
Contributo su Rivista - Delrio, Federico; Randazzo, Vincenzo; Cirrincione, Giansalvo; Pasero, Eros (2026)
Dual-Branch Fusion Neural Network Model: A Preliminary Demonstration of Absolute, Calibration-Free Blood Pressure Estimation from ECG and PPG Signals. In: Neural Networks: Overview of Current Theories and Applications / S.N., S.L., Springer Nature, pp. 41-50. ISBN: 9789819540716
Contributo in Volume - 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 - 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) - 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)