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Prof. Francisco Falcone, Universidad Publica de Navarra, UPNA, Spain, Institute for Smart Cities and TEC, Spain
Abstract: Wireless Systems for Communication and Sensing in Cognitive Cities
Smart cities are evolving towards cognitive paradigms, in which the environment becomes proactive and predictive, supported among others by wireless communication systems. In this sense, future 6G systems envisage the use of new radio functionalities as well as new spectral ranges, in order to enable joint communication and sensing capabilities. In this presentation, we will explore the new requirements and challenges in the development of cognitive cities and the role that future wireless communication systems will play.
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Biography:
Francisco Falcone (Senior Member, IEEE) received the degree in telecommunication engineering and the Ph.D. degree in communication engineering from the Public University of Navarre (UPNA), Pamplona, Spain, in 1999 and 2005, respectively. From 1999 to 2000, he was a Microwave Network Engineer at Siemens-Italtel, Málaga, Spain. From 2000 to 2008, he was a Mobile Access Network Engineer at Telefónica Móviles, Pamplona. In 2009, he co-founded Tafco Metawireless, a spin-off of UPNA (with EIBT national label), of which he was its first manager. In parallel, from 2003 to 2009, he was an Assistant Lecturer with the Department of Electrical and Electronic Engineering, UPNA, where he became an Associate Professor in June 2009. From 2011 to 2012, he was a Secretary at the Department of Electrical, Electronic and Communication Engineering, UPNA, where he was the Head of the Department of Electrical, Electronic and Communication Engineering from January 2012 to July 2018 and from July 2019 to November 2021. In 2018, he was a Visiting Professor at the Kuwait College of Science and Technology, Doha, Kuwait, for three months. He has also been with the Smart Cities Institute, Public University of Navarra, a multidisciplinary research institute with over 100 researchers, being the Head of the Institute, since May 2021, working on contextual and interactive environments solutions, through the integration of heterogeneous wireless communications networks, based on HetNet and the IoT. Since June 2022, he has been a Distinguished Visiting Professor with the Telecommunications School of Engineering and Science, Tecnologico de Monterrey, Monterrey, Mexico. Since September 2022, he has also been a Full Professor with the Department of Electrical, Electronic and Communication Engineering, UPNA. He has over 600 contributions in indexed international journals, book chapters, and conference contributions. His research interests include computational electromagnetics applied to the analysis of complex electromagnetic scenarios, with a focus on the analysis, design, and implementation of heterogeneous wireless networks to enable context-aware environments. Dr. Falcone received several research awards, such as the CST Best Paper Award in 2003 and 2005, the Prize of the Official Association of Telecommunications Engineers for the Best Doctoral Thesis in 2005, the UPNA Ph.D. Award in Experimental Sciences from 2004 to 2006, the 1st Prize Juan López de Peñalver to the Best Young Researcher in 2010, the Real Academia de Ingeniería de España, the XII Talgo Foundation Award for Technological Innovation with the proposal “Implementation of an Environment for the Railway Ecosystem,” the ECSA-2 Best Paper Award in 2015, the Best Paper Award IISA in 2015, the ECSA Award-3 Best Paper Award in 2016, the ECSA-4 Best Paper Award in 2018, the Best Paper Award ISSI in 2019, and the IIoT 2020 Best Paper Award.
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Prof. Nabil Abdennadher, University of Applied Sciences, Western Switzerland -
Title: Towards a Continuum Computing framework for decentralised Federated Learning Based Context-aware IoT Applications.
Abstract:
The proliferation of sensing device technologies, and the growing demand for data-intensive IoT applications, are paving the way to the next wave of transformation in IoT computing systems architecture. The goal today is to design, implement and deploy a seamless interconnection of IoT, edge, cloud and High-Performance Computing (HPC) resources in one computing system, to form a compute continuum, also referred to as edge-to-cloud.
In this talk, continuum computing refers to the deployment and execution of context-aware machine learning-based applications employing IoT sensors. Because of their distributed nature over constrained resources devices, these applications leverage the cloud and HPC infrastructures for learning tasks while exploiting edge devices for inference tasks on data coming from local IoT sensors.
But the next wave is already underway; it will involve designing edge-to-edge platforms where learning takes place locally while a coordination platform enables edge devices to share their intelligence.
This talk will cover the following points:
1. why and what is continuum computing?
2. A comparative study of centralised continuum computing solutions available on the market, where the edge intelligence is controlled by the Cloud,
3. A decentralised continuum computing framework deployed on edge-to-edge infrastructure and supporting decentralised federated learning (DFL). Here, the edges improve their intelligence by exchanging with their “neighbours”,
4. An example of a DFL based context-aware IoT application, for energy sector, deployed on a decentralised continuum computing platform.
This talk is the result of two European projects: SWARM and LASAGNE
Keywords- continuum computing, edge-to-cloud, edge-to-edge, context-aware IoT applications, federated learning
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Biography:
Nabil Abdennadher received the Diploma in Engineering (Computer science) from Ecole Nationale des Sciences de l’Informatique (ENSI, Tunisia), and the Ph.D. degrees in Computer Science from University of Valenciennes (France) in 1988 and 1991, respectively. He was assistant professor at University of Tunis II from 1992 to 1998 and a research assistant at the Computer Science Department of the Swiss Federal Institute of Technology (EPFL) from 1999 to 2000.
In 2001, he joined the University of Applied Sciences and Arts, Western Switzerland (HES-SO, HEPIA) as assistant professor. In 2008, he became associate professor and in 2017 he was promoted to full professor. His major research interests include high performance and distributed computing, Internet of Things and urban computing.
Nabil Abdennadher was head of the inIT research institute at HES-SO (HEPIA) from 2010 to 2022. He is currently head of the LSDS research group, representative of Artificial Intelligence Booster in Swiss Romandie and member of the Editorial Board of the Journal of Reliable Intelligent Environments.
Nabil Abdennadher is currently working on several Swiss and European projects aiming at developing context-aware digital platforms applied to energy and smart cities.
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Prof. Timothy Jung, Manchester Metropolitan University, UK -
Title: AI-powered XR: Redefining the Future of Software-Defined Systems.
Abstract:
TThe convergence of Extended Reality (XR) and Artificial Intelligence (AI) is posed to revolutionize industries and human digital experiences. This keynote will explore how this powerful combination is reshaping software-defined systems, unlocking strategic opportunities for enhanced productivity, collaboration, and customer experiences.
We will delve into the potential of AI-powered XR to create more hyper-realistic, personalized, and efficient digital environments. By leveraging AI's ability to analyze vast datasets and make intelligent decisions in real-time, XR can adapt seamlessly to individual needs and preferences, optimizing user interactions and driving significant value.
Moreover, we will discuss the role of software-defined principles in enabling the scalability, flexibility, and security of XR systems. By treating XR infrastructure as software, we can dynamically adapt to changing demands and ensure seamless user experiences.
Finally, we will address the ethical considerations and potential challenges associated with AI-powered XR. It is crucial to develop responsible AI guidelines and ensure that these technologies are used to benefit society as a whole. By proactively addressing these issues, we can harness the full potential of AI-powered XR and create a future where technology empowers humanity.
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Biography:
Timothy Jung is a visionary leader and renowned expert in Extended Reality (XR). As Chair Professor of XR, Director of the Creative AR & VR Hub and Lead of the Digital Transformation Knowledge Platform at Manchester Metropolitan University, he has been at the forefront of groundbreaking research and innovation in these transformative technologies.
Prof. Jung's work has real-world applications across industries such as tourism, cultural heritage, education, training, and healthcare. By leveraging AI to enhance XR experiences, he has pioneered new frontiers in immersive technologies. His extensive research and publications have earned him international recognition, including being named a Highly Cited Researcher (Top 1% scientist in the world) by Clarivate Analytics.
Beyond academia, Prof. Jung is an active member of the global tech community. As President of the International Association of Immersive Technology Innovation (IAITI) and Chair of the annual international XR-Metaverse Conference, he has played a pivotal role in shaping the future of XR and the Metaverse. His leadership and expertise have been instrumental in driving the adoption and implementation of these technologies by organizations worldwide.
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