Federico Delrio

Federico Delrio is a Ph.D. candidate in Ingegneria Elettrica, Elettronica e delle Comunicazioni (Electrical, Electronic and Communications Engineering) at the Polytechnic of Turin, with a research focus on Machine Learning Enhanced Analysis of ECG and Clinical Data. He is affiliated with the Department of Electronics and Telecommunications (DET) and the Department of Energy (DENERG), contributing to teaching as a "Docente esterno e/o collaboratore didattico" (External Teacher and/or Teaching Collaborator). His academic journey began with a Master's in Astrophysics at the University of Turin, where he explored Bounds on ultralight axions using the auto-correlation function of neutral hydrogen.

Research Interests span

• Machine Learning
• Neural Networks
• Big Data
• Data Science
• Biomedical Devices
• Biomedical Applications

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Teaching Contributions include roles in courses such as Electronic Systems Engineering (2024/25 and 2023/24), Silver Economy (2022/23), and Fondamenti di Elettronica di Potenza (2023/24 and 2024/25), emphasizing collaboration and technical instruction.

Email Contact: federico.delrio@polito.it

Publications reflect his work at the intersection of Machine Learning and Biomedical Engineering, particularly in

• ECG and PPG signal analysis
• Cuffless blood pressure monitoring
• Hybrid deep learning models
• Neural network applications in clinical settings

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