Bio
Florenc Demrozi, Ph.D. in Computer Science and IEEE and IFIP WG 10.5 member, received his B.Sc. (2014) and M.Sc. (2016) degrees in Computer Science and Engineering from the University of Verona, Italy. He also obtained his Ph.D. in Computer Science from the University of Verona in 2020. Currently, he serves as an Associate Professor in Medical Technology at the Department of Electrical Engineering and Computer Science, University of Stavanger, Norway. Dr. Demrozi is a cofounder of the IoT4Care research group at the University of Verona and a member of the Biomedical Data Analysis Lab (BMDLab) and the Stavanger AI Lab (SAIL) at the University of Stavanger (Norway). He has also been a Visiting Researcher/Professor at the University of Florida (USA), TU Chemnitz (Germany), the University of Limerick (Ireland), and the University of Verona (Italy). In his current role, he focuses on research areas such as Artificial Intelligence of Things (AIoT), Human Activity Recognition (HAR), Active and Assisted Living (AAL), and the Internet of Medical Things (IoMT). Dr. Demrozi also serves as an Associate Editor of the IEEE Sensors Journal and is part of the organizing/review committee for various international journals and conferences.
Topic
The Synergy of Artificial Intelligence of Things (AIoT) and Sensor Technology in Human Activity Recognition (HAR) for Active and Assisted Living (AAL).
The rapid advancements in Artificial Intelligence of Things (AIoT) and sensor technology are transforming the landscape of Active and Assisted Living (AAL). This talk explores the synergy between AIoT and Human Activity Recognition (HAR) systems to enhance personalized healthcare for aging populations and individuals with chronic conditions. By leveraging smart sensors and AI-driven models, HAR can monitor and analyze daily activities in real-time, offering unprecedented insights into users’ behavior and well-being. This integration supports proactive and tailored interventions, improving quality of life and promoting independence. The presentation will delve into key applications, challenges, and future opportunities in combining AIoT and HAR for the next generation of personalized AAL solutions.
