Federico Delrio

Ph.D. candidate in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 38^th cycle (2022-2025)
Department of Electronics and Telecommunications (DET)

Docente esterno e/o collaboratore didattico
Department of Energy (DENERG)

Docente esterno e/o collaboratore didattico
Department of Electronics and Telecommunications (DET)

federico.delrio@polito.it

Profile

PhD

Research topic

Machine Learning Enhanced Analysis of ECG and Clinical Data

Tutors

Research interests

Big Data, Machine Learning, Neural Networks and Data Science

Biomedical devices and applications

Biography

I'm passionate about physics, computer science, electronics and machine learning, I started programming about 15 years ago for fun, and I've never stopped. Graduated student in Astrophysics at the University of Turin with the thesis "Bounds on ultralight axions using the auto-correlation function of neutral hydrogen". Now PhD candidate at the DET of the Polytechnic of Turin on the topic "Machine Learning for the Improved Analysis of ECG and Clinical Data".

Teaching

Teachings

Master of Science

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

MostraNascondi A.A. passati

Bachelor of Science

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 (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)