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Title: MulSemedia Sensor Networks: A New Frontier in Research

Speaker: Prof. Ian F. Akyildiz

Abstract:  Although the past several decades have seen significant progress in the development of multimedia sensor networks, the multimedia only stimulates sight and hearing, neglecting three other fundamental human senses, namely, touch, smell, and taste. In recent years, the emergence of extended reality (XR), digital twins, digital currency, holographic-type communication systems, and Metaverse, requires all five human senses must be addressed and stimulated to create a fully immersive experience for users. Thus, MultiSensory media (MulSemedia) capturing all five senses will play a critical role for next generation sensor networks research in the next decade. This talk provides an overview of the history, background, use cases, existing research, devices, and standards of mulsemedia. Additionally, the challenges in mulsemedia research from the perspective of wireless sensor networking are discussed. In particular, the research challenges, such as, integrated communication/sensing, mulsemedia streaming, scheduling, intra- and inter mulsimedia synchronization, AI/ML algorithms with LLM (Large Language Models), semantic communication, are presented which will facilitate the design and commercialization of next generation mulsemedia sensor networks. The potential of 6G wireless systems to address these challenges is highlighted, and several research directions that can advance mulsemedia communications are identified.

Bio: I.F. Akyildiz (Life Fellow, IEEE and Fellow of ACM) received the B.S., M.S., and Ph.D. degrees in Electrical and Computer Engineering from the University of Erlangen–Nürnberg, Germany, in 1978, 1981, and 1984, respectively. He served as the Ken Byers Chair Professor in Telecommunications, the Past Chair of the Telecom Group at the ECE, and the Director of the Broadband Wireless Networking Laboratory, Georgia Institute of Technology, from 1985 to 2020. He serves on the Advisory Board of the Technology Innovation Institute (TII) Abu Dhabi, United Arab Emirates, since June 2020. He is the Founder and President of the Truva Inc, a consulting company based in Atlanta, GA, USA) since 1989. He is the Founder and the Editor-in-Chief of the newly established of International Telecommunication Union Journal on Future and Evolving Technologies (ITU J-FET) since August 2020. Currently he is an Adjunct Professor with the University of Helsinki, Finland and University of Iceland since 2020. He had many other international affiliations during his career and established research centers in Spain, South Africa, Finland, Saudi Arabia, Russia and India. Dr. Akyildiz is an IEEE Fellow since 1996, and ACM Fellow since 1997. He received numerous awards from IEEE, ACM, and other professional organizations, including ACM Sigmobile Award (2003), Humboldt Award (2014-2016 and 2023) from Germany and Tubitak Award (2011) from Turkey. In September 2023, according to Google Scholar his h-index is 137 and the total number of citations to his articles is more than 143+K. His current research interests include Mulsemedia Communication, Networking 2030, Metaverse, Hologram and Extended Reality Communication, 6G/7G wireless systems, TeraHertz Communication, Underwater Communication.

Title: The Price of Intelligence in Internet-of-Everything Systems

Speaker: Prof. Carla Fabiana Chiasserini

Abstract: Many of today’s applications designed for Internet of Everything (IoE) systems include as one of their essential components one or more machine learning models. Often, such models are deep neural networks (DNN), with a large and complex structure. A relevant challenge is thus how to make such DNNs suitable for the resources offered by the IoE, and how to tailor the DNNs to the heterogeneity exhibited by the devices composing the IoE. An effective approach to address this challenge consists in leveraging the emerging concept of dynamic DNNs with early exits combined with the split computing paradigm. This talk will discuss the potentiality, as well as the hurdles, of both dynamic DNN structures and split computing in a network and computing system where resources may be limited or heavily skewed, and most of the system nodes communicate wirelessly.

Bio: Carla Fabiana Chiasserini is Full Professor at Politecnico di Torino, Italy, and a Research Associate with the CNR-IEIIT and CNIT. She was a Visiting Researcher at UC San Diego (1998-2003), and a Visiting Professor at Monash University (2012, 2016), the Berlin Technische Universität (2021, 2022), and the HPI, Potsdam University (Germany). She is currently a WASP Guest Professor with Chalmers University, Sweden. She is an IEEE Fellow. She is the director of the Advanced Wireless Experience Lab at Politecnico di Torino. Her research interests include NextG Networks, Edge Computing, Machine Learning, and Mobile Autonomous Systems. She has published over 350 journal and conference papers and has received several awards for her scientific work. She serves as Associate Editor-in-Chief of Computer Communications and as Editor-at-Large of the IEEE/ACM Transactions on Networking.