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Sensors Webinar | Smart Healthcare in the Internet of Things Continuum

26 November 2025
17:00 (CET)
Online

Welcome from
the chair

28th Sensors Webinar

Smart Healthcare in the Internet of Things Continuum

Emerging digital technologies play a transformative role in the healthcare domain: in particular, the integration of Internet of Things (IoT) infrastructures, continuum computing paradigms, and wearable systems is reshaping how medical data are collected, processed, and applied to support patient care. These technologies, indeed, enable real-time monitoring, personalized treatments, and adaptive services distributed across edge, fog, and cloud layers, ultimately fostering healthcare models that are more efficient, scalable, and patient-centered. This webinar highlights the outcomes of two Italian national projects addressing exactly these challenges. Both initiatives investigate, from different but complementary perspectives, how IoT-based smart healthcare ecosystems can be designed and implemented to exploit the computational continuum, ensuring reliable data management and seamless interactions between heterogeneous devices and platforms. A particular emphasis will be devoted to wearable technologies, which act as primary enablers for the continuous acquisition of physiological and contextual data, supporting advanced monitoring strategies and enabling the development of intelligent decision support systems.

Date: 26 November 2025

Time: 11:00 AM EST | 17:00 PM CET

Webinar ID: 891 6787 236

Webinar Secretariat: journal.webinar@mdpi.com



Meet the Event Chair

Dr. Claudio Savaglio
Dr. Claudio Savaglio
Department of Informatics, Electronics, Modelling and Systems, University of Calabria, Cosenza, Italy

Meet Our Speakers

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Dr. Luca Greco

Dr. Luca Greco

Universita di Salerno, Department of Information Engineering, Salerno, Italy;
Luca Greco received the PhD degree in Information Engineering from the University of Salerno, Italy. He is currently scientific director of the PON project «I-CARE.ME - Innovative care through intelligent environments», and he has also been a founding member, since 2017, of the spinoff of the University of Salerno "AI4Health srl". He is also Principal Investigator of the PRIN PNRR project “ENTRUST: USER CENTRIC PLATFORM FOR CONTINOUS HEALTHCARE”, whose focus is on architectures and algorithms in the edge-cloud continuum for the development of innovative solutions in the digital health and Health Internet of Things fields ( HIoT). He is the author of over 50 scientific works in international journals and conferences. He is currently serving as Associate Professor of Computer Engineering at the Department of Information and Electrical Engineering and Applied Mathematics (DIEM) of the University of Salerno. His main research interests concern the areas of Information Retrieval and the Internet of Things.

Dr. Raffaele Gravina

Dr. Raffaele Gravina

Department of Informatics, Electronics, Modelling and Systems, University of Calabria, Cosenza, Italy;
Raffaele Gravina received the PhD degree in computer engineering from the University of Calabria, Italy, in 2012. He is the main designer of the SPINE Framework and responsible for the open-source contributions. He spent two years as researcher at the Telecom Italia WSN Lab at Berkeley, California. He is involved in several research projects on WSNs, including H2020 Inter-IoT, AD-PERSONAS, BodyCloud, MAPS and the REWSN Cluster of FP7 CONET. He is co-founder of SenSysCal S.r.l. and Talent Garden Cosenza S.r.l. He is IEEE Senior Member. He is author of more than 110 papers in international journals, conferences, and book chapters. He is currently serving as Associate Professor of Computer Engineering at the University of Calabria, Italy. His research interests are focused on high-level programming methods for Wireless Body Sensor Networks and on the Internet-of-Things.

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MDPISensors
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Relevant Section

Sensors Internet of Things Section


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