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Keynote Lectures

Observing the Users to Estimate the Perceived Quality: Challenges and Technologies
Luigi Atzori, Universita degli Studi di Cagliari, Italy


Fatos Xhafa, Departament De Llenguatges I Sistemes Informàtics, Universitat Politècnica De Catalunya, Spain

(Cancelled)

 

Observing the Users to Estimate the Perceived Quality: Challenges and Technologies

Luigi Atzori
Universita degli Studi di Cagliari
Italy
 

Brief Bio
Luigi Atzori (PhD, 2000) is professor of Telecommunications at the University of Cagliari, where he leads the activities of the Net4U laboratory (Network for Humans) with around 20 affiliated researchers. Since 2018, he has been the coordinator of the master degree course in Internet Technology Engineering at the University of Cagliari. His research interests fall in the area of Internet of Things (IoT), with particular reference to the design of effective algorithms for the realization of social networks among connected devices to develop the Social IoT paradigm. His works on the IoT and the social IoT have received a great impact with more than 20K citations. His interests also fall in the area of Quality of Experience (QoE), with particular application to the management of services and resources in new generation networks for multimedia communications. Lately, he also applies the study of QoE to IoT services. He serves regularly as referee for several international and national funding programs, in the organizing committee of international conferences, and as associate and guest editor in several international journals (Ad Hoc Networks, IEEE Open Journal of the Communications Society, IEEE Communications Magazine, etc.). He is co-founder of two spinoffs in the areas of IoT solutions for people mobility.


Abstract
The increasing adoption of pervasive digital infrastructure is aimed at improving the human quality of life when conducting most of everyday activities, from having online meetings to using transport mobility services. The achievement of this objective calls for the adoption of a human-centric approach when deploying and managing relevant services. One of the approaches that contributes to this objective is to estimate and manage the quality of experience (QoE) of the users when consuming these services, which requires a deep knowledge of the factors that impact on the formation of the quality perception. In this respect, this talk will focus on the estimation of the users’ perceived QoE when using multimedia and IoT applications by observing their gesture, facial expression and speech. It will describe the technologies to monitor the users and how a proper selection of features from the collected data and the adoption of fusion techniques allow for the estimation of the perceived quality without asking for an explicit feedback from the user while avoiding biasing effects. Future scenarios and challenges will also be described, included the interaction in the immersive digital wo



 

 

Offloading in Cloud-to-Thing Continuum

Fatos Xhafa
Departament De Llenguatges I Sistemes Informàtics, Universitat Politècnica De Catalunya
Spain
 
* CANCELLED *

Brief Bio
Fatos Xhafa, PhD in Computer Science, is Full Professor at the Technical University of Catalonia (UPC), Barcelona, Spain. He has held various tenured and visiting professorship positions. He was a Visiting Professor at the University of Surrey, UK (2019/2020), Visiting Professor at the Birkbeck College, University of London, UK (2009/2010) and a Research Associate at Drexel University, Philadelphia, USA (2004/2005). Prof. Xhafa has widely published in peer reviewed international journals, conferences/workshops, book chapters, edited books and proceedings in the field (H-index 62). Prof. Xhafa has an extensive editorial service. He is founder and Editor-In-Chief of Internet of Things - Journal - Elsevier (Scopus and WoS Science) and of International Journal of Grid and Utility Computing, (Scopus and WoS Science). Prof. Xhafa is a member of the IEEE Communications Society, IEEE Systems, Man & Cybernetics Society and Founder Member of Emerging Technical Subcommittee of Internet of Things. His research interests include IoT and Cloud-to-thing continuum computing, massive data processing and collective intelligence, optimization, and machine learning, among others. He can be reached at fatos@cs.upc.edu. Please visit http://www.cs.upc.edu/~fatos/ and http://dblp.uni-trier.de/pers/hd/x/Xhafa:Fatos


Abstract
With the fast widespread and adoption of Internet technologies, Cloud computing has become a digital ecosystem, referred to as Cloud-to-thing continuum computing, embracing an array of computing paradigms and infrastructures, from large servers and data centers to tiny sensors and actuators at the Edges of the Internet. Thereby, the Intelligent Edge aims at placing intelligence to the end devices, at the edges of the Internet. The premise is that collective intelligence from the IoT data deluge can be achieved and used at the edges of the Internet by offloading the computation burden from the Cloud systems and leveraging real time intelligence. While (parallel) task offloading is a well-known problem from traditional distributed computing, it is more challenging in Cloud-to-thing continuum. In this talk, we will discuss some offloading computing models in Cloud-to-thing continuum, its challenges and opportunities for the Intelligent Edge. In particular, we will discuss the challenges of processing and analyzing the IoT data streams in real time and how offloading and agile optimization can be useful to harnessing the power of the intelligent edge. We will exemplify the discussion by a real-life scenario from augmented workspace based on affective computing and federated learning.



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