Francesco Santi

Researcher



Personal information

  • Francesco Santi, IEEE Student Member, received his M.Sc. in Biomedical Engineering from Universita' Campus Bio-Medico di Roma in December 2025, where he developed a solid academic foundation in physiological signals. With a thesis entitled "Estimation of Hemodynamic Parameters through Multimodal Wearable Devices for the Measurement of Electromechanical Variables", he began working with cardiac signals, specializing in data processing and the development of Machine Learning models.
  • Since February 2026, he has been working as a Research Fellow at the Department of Industrial, Electronic and Mechanical Engineering (DIIEM) of Roma Tre University, after being awarded the research grant: PNRR-M4C2-I1.1-PRIN 2022 - ERC Sector PE7 - META-SKIN - Monitoring and predicting hemodynamics in patients undergoing Transcatheter Aortic valve implantation using Skin-Interfaced wearable sensors. In this role, he integrates his expertise with Artificial Intelligence technologies to enhance biometric recognition capabilities.
  • In September 2026, he served as Local Arrangement Chair for the IEEE/IAPR International Joint Conference on Biometrics (IJCB 2026).
  • His research focuses on digital signal processing and the improvement of biometric systems through the use of physiological signals acquired via wearable devices and Deep Learning techniques.