Tutorial 1: 5GB e-Health Networks and Related Services, from Theory to Reality (Speakers: Di Zhang and Yunkai Zhai)
Tutorial 2: Transdisciplinary Methods for Interdisciplinary Research in IoT-Based Cyber-Physical Systems and Human-Machine Interfaces (Speakers: Pedro Henrique Juliano Nardelli, Renan Cipriano Moioli, and Augusto José Venâncio Neto)
Tutorial 1: 5GB e-Health Networks and Related Services, from Theory to Reality
Presenters: Di Zhang and Yunkai Zhai
Abstract: Information and communication technology (ICT) for health has been widely discussed. However, due to the limited number of connected devices, slow transmission speed, low communication reliability and higher latency drawbacks of prior cellular communications generations, e-health was not widely adopted. The ongoing development of 5G is accelerating the practical use of e-health networks and related services. Stunning 5G envisions are the ultra-reliable low latency communications (URLLC), enhanced mobile broadband (eMMB) and massive machine type communications (mMTC), which fit the requirements of e-health networks and related services perfectly. However, due to the technology limitations of 5G’s current version, more endeavors are still needed, especially for the URLLC. Besides the technical limitations, ethics and privacy information protection are also challenging the deployments of 5G and beyond technologies (5GB) e-health networks and related services. Motivated by the above, in this tutorial, we cover the related technology solutions, user cases, future research trends and challenges for the 5GB e-health networks and related services. Ultimately, the intent of this tutorial is to provide an in-depth exposition of 5GB research and to serve as a basis for stimulating more out-of-the-box research about the 5GB e-health networks and services.
Di Zhang currently is an Assistant Professor at Zhengzhou University, China, he is also an adjunct technician with the National Telemedicine Center, National Engineering Laboratory for Internet Medicine Systems and Applications. He has served as a temporary Deputy Team Leader of Henan Provincial Big Data Administration. He received his Ph.D. degree from Waseda University, Japan (2013-2017). He was a visiting Senior Researcher with Seoul National University, Seoul, South Korea, and a visiting student with National Chung Hsing University, Taiwan. Dr. Zhang has engaged in two international projects in wireless communications and networking co-funded by the EU FP-7, EU Horizon 2020, Japanese Monbushou and NICT. He is serving as the editor of the IEEE ACCESS, KSII Transactions on Internet and Information Systems, IET Quantum Communication. He has served as the guest editor of IEEE Wireless Communications, IEEE NETWORK, IEEE ACCESS, etc.; Chair of IEEE WCNC 2020, IEEE/CIC ICCC 2020, IEEE/CIC ICCC 2019, etc.; and TPC member of various IEEE flagship conferences, such as ICC, GlobalSIP, WCNC, VTC, CCNC, HEALTHCOM. In 2019, he received the ITU Young Author Recognition Award and the IEEE Outstanding Leadership Award. His research interests include wireless communications, signal processing, Internet of things and e-health.
Yunkai Zhai is the vice director of the National Engineering Laboratory for Internet Medical Systems and Applications, vice director of the National Health Center, director of the National \& Local Joint Engineering Laboratory for Mobile Medical Technology and Services, director of the Provincial Engineering Laboratory for Internet Medicine E-Commerce and Active Health Services of Henan Province, vice director of the Health Informatization Professional Committee of the China Health Information and Big Data Association and secretary-general of China Health Internet + Health Alliance. He undertakes more than 30 scientific research projects, including National Key R & D Project, National Science and Technology Project for people-benefit, National 863 Project, National Health and Family Planning Commission Standard Development and Testing Project, etc. He has published more than 20 monographs and textbooks, authored more than 150 papers, obtained 26 software copyrights and applied for 10 national invention patents. He won 1 first prize and 3 second prize for Provincial Scientific and Technological Progress Award, and 1 second prize of the Provincial Social Science Outstanding Achievement Award of Henan Province. His main research interests are Internet medical information systems and management, medical health big data governance and application, and medical health service quality management.
Tutorial 2: Transdisciplinary Methods for Interdisciplinary Research in IoT-Based Cyber-Physical Systems and Human-Machine Interfaces
Presenters: Pedro Henrique Juliano Nardelli, Renan Cipriano Moioli, and Augusto José Venâncio Neto
Abstract: Neurosciences and wireless communications are converging. Novel technologies are expanding Brain-Machine Interface (BMI) usage whereas Internet of Things (IoT) offer a myriad of applications. In fact, human- and machine-type communications are soon to be complemented by brain-type communications (BTC), in which users’ brains and networks seamlessly interact. One can think of Extended Reality applications, intelligent vehicles, and brain networks, to mention but a few examples. The goal of this tutorial is to discuss the state-of-the art of BMI and IoT, focusing on emerging technologies that may support BTC. We will first provide an introduction into BMIs, including properties of the nervous system, neural coding and decoding, and neural signal processing. We proceed by discussing IoT as the basis of smart infrastructure, with special attention to topics such as quality of physical experience and cyber-physical systems. How can brain networks improve machine-type communication architectures of IoT-based systems? Can biologically inspired processing improve the energy efficiency in modern communication systems? Does IoT create structures of awareness (cognition) of cyber-physical systems? What are the security, privacy, and ethical issues underlying this topic? These are examples of questions we will pose during the tutorial.
Pedro Henrique Juliano Nardelli
Dept. of Electrical Engineering
School of Energy Systems LUT University, Finland
Pedro H. J. Nardelli received the B.S. and M.Sc. degrees in electrical engineering from the State University of Campinas, Brazil, in 2006 and 2008, respectively. In 2013, he received his doctoral degree from University of Oulu, Finland, and State University of Campinas following a dual degree agreement. He is currently Assistant Professor (tenure track) in IoT in Energy Systems at LUT University, Finland, and holds a position of Academy of Finland Research Fellow with a project called Building the Energy Internet as a large-scale IoT-based cyber-physical system that manages the energy inventory of distribution grids as discretized packets via machine-type communications (EnergyNet). He leads the Cyber-Physical Systems Group at LUT and is Project Coordinator of the CHIST-ERA European consortium Framework for the Identification of Rare Events via Machine Learning and IoT Networks (FIREMAN). He is also Adjunct Professor at University of Oulu in the topic of “communications strategies and information processing in energy systems”. His research focuses on wireless communications particularly applied in industrial automation and energy systems. He received a best paper award of IEEE PES Innovative Smart Grid Technologies Latin America 2019 in the track “Big Data and Internet of Things”. He is also IEEE Senior Member. View more information.
Renan Cipriano Moioli
Digital Metropolis Institute
Federal University of Rio Grande do Norte, Brazil
Assistant Professor at the Digital Metropolis Institute from the Federal University of Rio Grande do Norte. He has a bachelor's degree in Electrical Engineering from the State University of Campinas (2006), M. Sc. in Electrical Engineering from State University of Campinas (2008) and doctorate in Cognitive Science from the University of Sussex (2013), UK. In 2018, became a UK Royal Society Newton Advanced Fellow. His projects develop and explore computational intelligence tools in the context of neuroengineering, from the construction of brain-machine interfaces to the search of neural patterns in cognitive processes, with a focus on health applications and broad industry sectors. He has experience in computational intelligence, machine learning, signal processing, and autonomous robotics.
Augusto José Venâncio Neto
Informatics and Applied Mathematics Department Federal University of Rio Grande do Norte, Brazil
Associate Professor at theInformatics and Applied Mathematics Depart-ment(DIMAp) of the Federal University of RioGrande do Norte (UFRN), member of the Instituto de Telecomunicações (Aveiro, Portugal), researcher of the National Council for Technological and Scientific Development (CNPq), and leader of the Research Group on Future Internet Service and Applications (REGINA). He got his Ph.D. at the University of Coimbra (2008), and coordinates/participates in research projects funded by national and international development agencies. He is an active member of the IEEE, IEEE ComSoc, and the IEEE eHealth TC, participates as editor/reviewer of important journals in the field of computer networks, and has authored and co-authored more than 150papers. His current research interests are in 5G, slicing, SDN/NFV, Cloud/Edge/Fog Computing, IoT, and Smart Cities.