Keynote Speakers
Metaverse (Extended Reality, Hologram Type and Mulsemedia) Communication Challenges In 6G and Beyond Systems
Ian F. Akyildiz,
Founder and President of the Truva Inc. Advisory Board member at TII
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 Metaverse. Additionally, the challenges in Metaverse research from the perspective of wireless etworking are discussed. In particular, the research challenges, such as, integrated communication/sensing, mulsemedia streaming, scheduling, intra- and inter synchronization, AI/ML algorithms with LLM (Large Language Models), semantic communication, security aspects are presented which will facilitate the design and commercialization of Metaverse. The potential of 6G wireless systems to address these challenges is highlighted, and several research directions that can advance Metaverse are identified.
Biography I.F. Akyildiz (Life Fellow, IEEE) 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 is also Founder and President of the Truva Inc., a consulting company based in Georgia, USA, since 1989. He is an Advisory Board member at the Technology Innovation Institute (TII) Abu Dhabi, United Arab Emirates, since June 2020. 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. 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 had many international affiliations during his career and established research centers in Spain, South Africa, Finland, Saudi Arabia, Germany, Russia, India and Cyprus. 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 Humboldt Award from Germany and Tubitak Award from Turkey. In June 2022, according to Google Scholar his h-index is 133 and the total number of citations to his articles is more than 134+K. His current research interests include Networking 2030, Hologram and Extended Reality Communication, 6G/7G wireless systems, Terahertz Communication, Underwater Communication.
Edge Computing Enabling Clinical Information Processing
Albert Y. Zomaya,
Centre for Distributed & High-Performance Computing, School of Computer Science University of Sydney, Australia
Abstract: The healthcare industry increasingly relies on the analysis of clinical information to provide accurate and timely diagnoses and treatment plans for patients. However, traditional methods of processing and analyzing this information can be slow and resource intensive, leading to delays in patient care and suboptimal outcomes. This is where edge computing comes in, providing a way to process and analyze clinical information at the point of care, improving the speed and accuracy of decision-making.
In this talk, we will explore how edge computing can breaks down barriers in clinical information processing, leading to improved patient outcomes. We will examine the healthcare industry's key challenges in clinical information processing and how edge computing can help overcome these challenges through faster data processing, increased data privacy and security, and improved decision-making capabilities.
We will also explore how edge computing can be integrated with other emerging technologies, such as machine learning and the Internet of Things, to provide even greater benefits for patients and healthcare providers. Ultimately, this talk will provide valuable insights into how edge computing is transforming the healthcare industry and what it means for the future of patient care.
Biography: Albert Y. ZOMAYA is Peter Nicol Russell Chair Professor of Computer Science and Director of the Centre for Distributed and High-Performance Computing at the University of Sydney. To date, he has published > 700 scientific papers and articles and is (co-) author/editor of >30 books. A sought-after speaker, he has delivered >250 keynote addresses, invited seminars, and media briefings. He is a past Editor in Chief of the IEEE Transactions on Computers (2010-2014) and the IEEE Transactions on Sustainable Computing (2016-2020), and currently serves as the Editor in Chief of the ACM Computing Surveys
Distributed and Hybrid Digital Twins for Ultra Low Latency CPS Applications
Paolo Bellavista,
Professor, AEiC of IEEE COMST, EiC of MDPI Computers
EB Member of IEEE TNSM & TSC, ACM CSUR & TIOT, Elsevier PMC & JNCA
DISI - University of Bologna, Italy
Abstract: Digital twins are becoming a crucial tool for both design purposes (e.g., dimensioning before implementation – offline digital twins) and efficiency goals (e.g., online reconfiguration to improve quality – online digital twins), by posing several, still open, technical challenges to their effective implementation. In particular, the keynote speech will focus on the emerging directions of hybrid (synergically exploiting simulations and data-driven machine learning models) and distributed (running also in cloud continuum edge nodes, e.g., for federated learning and efficient after-training operations) digital twins. Practical examples of implemented testbeds with edge cloud nodes supporting digital twins will be described from the IoTwins H2020 project, in the vertical domains of industrial manufacturing plants and smart city management optimization.
Biography: Paolo Bellavista is a Full Professor of mobile and distributed systems at the University of Bologna, Italy. His primary research interests include middleware for mobile computing, digital twins for Industry4.0 and smart city applications, QoS management in the cloud continuum, infrastructures for big data processing in industrial environments, and performance optimization in wide-scale and latency-sensitive deployment scenarios. Related to digital twins, he was the scientific coordinator of the H2020 IoTwins project (completed in Winter 2022).
Additional details at https://www.unibo.it/sitoweb/paolo.bellavista/en
Analyzing the Abyss: Constructing and Validating Results in Big Data Environments
Diya Salloum,
Vice President of Fraud Risk at JPMorgan Chase
Abstract: In today's fast-paced business environment, ad-hoc analysis has become indispensable for organizations to make informed decisions swiftly. However, the spontaneity of these analyses can sometimes compromise their accuracy and efficiency. This presentation delves into the best big data analytical practices that ensure precision and save crucial time. We'll explore strategies like structured problem framing, leveraging templated workflows, and utilizing automated data validation tools. Additionally, the importance of fostering a culture of knowledge sharing and continuous learning will be highlighted, emphasizing the role of peer reviews and feedback loops. By integrating these best practices, analysts can confidently produce rapid yet robust insights, driving agile decision-making processes in any organization.
Biography: Diya Salloum is serving as the Vice President of Fraud Risk at JPMorgan Chase. Mr. Diya's current role focuses on combating digital fraud by analyzing fraud trends and designing innovative measures to protect customers. His deep understanding of big data, analytics, and the financial sector allows him to proactively address risks and ensure the security of customers and financial systems. Prior to that, Mr. Diya held a position as a Senior Business Analyst at Amazon Web Services (AWS).