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2 - 4 March, 2026 - Marbella, Spain

Within the 19th International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSTEC 2026

CO-CHAIRS

	Stefano Savazzi Consiglio Nazionale delle Ricerche CNR-IEIIT Italy
Brief Bio Stefano Savazi is a Senior Researcher at Consiglio Nazionale delle Ricerche (CNR), the Institute of Electronics, Computer and Telecommunication Engineering (IEIIT). He received the M.Sc. degree and the Ph.D. degree (Hons.) in ICT from the Politecnico di Milano, Italy, in 2004 and 2008, respectively, and joined CNR in 2012. He was a Visiting Researcher with Uppsala University, in 2005 and University of California at San Diego in 2007. He has coauthored over 140 scientific publications (Scopus). His current research interests include distributed signal processing, distributed and federated machine learning, networking aspects for the Internet of Things, radio localization and vision technologies, integrated sensing and communications (ISAC). Dr. Savazzi was the recipient of the Dimitris N. Chorafas Foundation Award. He is principal investigator for CNR in the Horizon EU projects Holden, TRUSTroke and the Doctoral Network SMARTTEST focused on Integrated Sensing and Communications (ISAC) for personalized healthcare. He is also serving as Associate Editor for Frontiers in Communications and Networks, Wireless Communications and Mobile Computing, Personal Wireless Communications and Sensors. He is Senior IEEE member and responsible for the WaveLab laboratory of CNR.

	Diogo Reis Santos European Organization for Nuclear Research (CERN) Switzerland
Brief Bio Diogo Reis Santos is a Data Scientist at CERN specializing in data science, machine learning, signal processing, and computational biology. He currently leads the technical development of CERN’s federated learning infrastructure (CAFEIN) to support the operation of complex systems at the Large Hadron Collider (LHC), while also working on healthcare-focused applications within European collaborations. Diogo holds a Ph.D. in Computational Cardiology from University College London (UCL). In addition to his research activities, he has lectured in deep learning, served as a scientific advisor, and organized several scientific outreach events.

	Carolina Migliorelli Falcone Eurecat Centre Tecnològic Spain
Brief Bio Carolina Migliorelli Falcone (Phd.) is the lead researcher of the Trustworthy Artificial Intelligence for Healthcare research line within the Digital Health Unit at Eurecat. Her research career began with a PhD at the Biomedical Engineering Research Centre (CREB - UPC), followed by a postdoctoral stage at the Biomedical Research Networking Center (CIBER-BBN). Her work focuses on the development of artificial intelligence systems applied to healthcare, with a strong emphasis on trustworthiness, explainability, and safety. She leads projects aimed at creating advanced machine learning algorithms to support clinical decision-making, facilitate patient classification and stratification, and enable personalized, data-driven interventions. She also works on digital health solutions that empower individuals to manage their health and improve their lifestyles through reliable and user-centered technologies. She has extensive experience in biomedical signal processing and the integration of clinical data in complex environments. She holds a PhD in Biomedical Engineering (UPC), a Master’s degree in Biomedical Engineering (UB-UPC), and a Technical Telecommunications Engineering degree with a specialization in Electronic Systems (UPC).

	Sara Zullino Europen Infrastructure for Translational Medicine (EATRIS) Netherlands
Brief Bio Dr Sara Zullino is the Scientific Lead AI for Medical Applications at EATRIS. She is a Biomedical Engineer by training and holds a PhD in Complex Systems for Life Sciences. Her expertise lies at the intersection of translational medicine, artificial intelligence, and healthcare innovations. She is involved in several high-impact EU-funded initiatives, including EUCAIM, UMBRELLA, TRUSTroke and COMPASS-AI, which aim to develop trustworthy, AI-driven solutions to support clinical decision-making and improve patient outcomes. Her work plays a key role in bridging the gap between research, innovation, and clinical translation, advancing the development of cutting-edge technologies and AI-based medical applications.

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