Date and Time
15:00 Sep 6
Blockchain-enabled Trust in Edge-based Internet of Things architectures: State of the art and Research Challenges
Meeting ID: 627-208-618
15:00 Sep 7
Collective Intelligence in the Next Generation Operating Rooms
Meeting ID: 907-266-943
Title: Blockchain-enabled Trust in Edge-based Internet of Things Architectures: State of the art and Research Challenges
Internet of Things (IoT) aims to enable a world where physical objects, integrated into information networks, provide smart services for human beings. The introduction of edge computing in IoT can reduce the decision-making latency, save bandwidth resources, and extend the cloud services to be distributed at the edge of the network. However, edge-based IoT systems currently faces challenges in their decentralized trust management. Trust management plays an essential role for reliable data fusion and mining, provisioning of services with context-awareness, and enhanced user privacy and information security. In this talk, we analyze the edge-based IoT architectures that are available in the literature. Then, a comprehensive review of trust requirements in edge-enabled IoT systems is presented. We notably discuss about blockchain as a key enabler to address many trust related issues in IoT and consider closely the complementary interrelationships between blockchain and edge computing. Finally, we provide a detailed analysis of trusted edge computing based IoT systems’ performance and recommend promising research directions for future investigations.
Title: Collective Intelligence in the Next Generation Operating Rooms
The ability of a team to work together across a wide variety of tasks is known as collective intelligence (CI). In the last decades, CI is gaining traction in healthcare since its potential in enhancing teamwork and patient safety through improved medical procedures. Nevertheless, CI remains poorly characterized in the clinical setting and its implications in improving teamwork and surgical outcomes lack in the literature. Recently, wearable systems have been used to measure physiological signals and quantify the group behaviors of a surgical team. However, no works have still focused on investigating how individual characteristics and group behaviors can be combined to establish models of effective teamwork and, consequently, strengthen CI.
In this talk, we proposed the combined use of a wearable system and video recordings to quantitively assess changes in physiological traits of two team members (a medical trainee and an anesthesiologist) before and during a medical procedure. In details, a wearable chest strap was used to monitor vital signs and the level of activity of each user while a video was contextually recorded to evaluate the level of teamwork in terms of speaking time and face-to-face interactions. The proposed technologies were able to work in the scenario of interest recording data useful to quantify aspects related to both individuals’ traits and human interactions.
These promising results will foster future interventions on a clinical scenario involving a higher number of team members and under more challenging medical procedures (e.g., inside the operating room) for improving team effectiveness and supporting the development of CI in clinical settings.
Giancarlo Fortino (IEEE Fellow 2022) is Full Professor of Computer Engineering at the Dept of Informatics, Modeling, Electronics, and Systems of the University of Calabria (Unical), Italy. He received a PhD in Computer Engineering from Unical in 2000. He is also distinguished professor at Wuhan University of Technology and Huazhong Agricultural University (China), high-end expert at HUST (China), senior research fellow at the Italian ICAR-CNR Institute, CAS PIFI visiting scientist at SIAT – Shenzhen, and Distinguished Lecturer for IEEE Sensors Council. At Unical, he is the Rector’s delegate to Int’l relations, the chair of the PhD School in ICT, the director of the Postgraduate Master course in INTER-IoT, and the director of the SPEME lab as well as co-chair of Joint labs on IoT established between Unical and WUT, SMU and HZAU Chinese universities, respectively. Fortino is currently the scientific responsible of the Digital Health group of the Italian CINI National Laboratory at Unical. He is Highly Cited Researcher 2020-2022 in Computer Science by Clarivate. He had 25+ highly cited papers in WoS, and h-index=78 with 21500+ citations in Google Scholar. His research interests include wearable computing systems, e-Health, Internet of Things, and agent-based computing. He is author of 650+ papers in int’l journals, conferences and books. He is (founding) series editor of IEEE Press Book Series on Human-Machine Systems and EiC of Springer Internet of Things series and AE of premier int'l journals such as IEEE TASE (senior editor), IEEE TAFFC-CS, IEEE THMS, IEEE T-AI, IEEE IoTJ, IEEE SJ, IEEE JBHI, IEEE SMCM, IEEE OJEMB, IEEE OJCS, Information Fusion, EAAI, etc. He chaired many int’l workshops and conferences (130+), was involved in a huge number of int’l conferences/workshops (700+) as IPC member, is/was guest-editor of many special issues (80+). He is cofounder and CEO of SenSysCal S.r.l., a Unical spinoff focused on innovative IoT systems, and recently cofounder and vice-CEO of the spin-off Bigtech S.r.l, focused on big data, AI and IoT technologies. Fortino is currently member of the IEEE SMCS BoG and of the IEEE Press BoG, and former chair of the IEEE SMCS Italian Chapter.