JaeSeung Song (Senior Member, IEEE, [email protected]) is an associate professor in the Computer&Information Security Department at Sejong University. He holds the position of Technical Plenary Vice Chair of the oneM2M global IoT standards initiative. Prior to his current position, he worked for NEC Europe Ltd. and LG Electronics in various positions. He received a Ph.D. at Imperial College London in the Department of Computing, United Kingdom. He holds B.S. and M.S. degrees in computer science from Sogang University. His research interests span the areas of beyond 5G and 6G, AI/ML enabled network systems, software engineering, networked systems and security, with focus on the design and engineering of reliable and intelligent IoT/M2M platforms. He also holds leadership roles in several journals and conferences such as an associate editor of IEEE IoT Journal, an IoT series editor of IEEE Communications Standards Magazine and an IoT track chair of IEEE Conference on Standards for Communications and Networking.
Elena Bergamini received the joint Ph.D. in Biongineering and Biomécanique et Ingénierie pour la Santé at the University of Bologna (Italy) and Arts et Métiers ParisTech (France) in 2011. Since 2011 she has been with the University of Rome “Foro Italico”, where she is currently Associate Professor. Her research concerns the development and application of methods for the quantification of persons’ motor function, both in clinical and sports contexts, with reference to the use of wearable magneto-inertial sensors. From 2017 to 2021 Elena has been secretary of the Directory Board of the Italian Society of Human Movement Analysis in Clinics (SIAMOC) and, since 2020, she is Chair of the Sensors for Biomechanics technical committee within the IEEE Italy Sensors Chapter.
Dr. Edith Ngai is currently an Associate Professor in Department of Electrical and Electronic Engineering, The University of Hong Kong. Before joining HKU in 2020, she was an Associate Professor in the Department of Information Technology, Uppsala University, Sweden. Edith was a guest researcher at Ericsson Research Sweden in 2015-2017. Previously, She has conducted research in Imperial College London, Simon Fraser University, Tsinghua University, and UCLA. Her research interests include Internet-of-Things, machine learning, data analytics, and smart cities.
She was a VINNMER Fellow (2009) awarded by Swedish Governmental Research Funding Agency VINNOVA. Edith was a program chair of ACM womENcourage 2015 and a TPC co-chair of IEEE SmartCity 2015, IEEE ISSNIP 2015, and ICNC 2018 Network Algorithm and Performance Evaluation Symposium, and IEEE GreenCom 2022. She is an Area Editor of IEEE Internet of Things Journal and an Associate Editor of IEEE Access and IEEE Transactions of Industrial Informatics. Edith is a Senior Member of ACM and IEEE.
Edith was a project leader of the “Green IoT” project in Sweden in 2014-2017. The project developed an IoT solution and testbed in the city centre of Uppsala for monitoring air pollution. The “Green IoT” was an award winning project in the Faculty of Science of Engineering in Uppsala University in 2018. It was also named on IVA’s 100-list by the Royal Swedish Academy of Engineering Sciences in 2020.
Dr. Thomas Thundat is an Empire Innovation professor in the Department of Chemical and Biological Engineering at the University at Buffalo, The State University of New York, Buffalo, NY. He is also Distinguished Professor (honorary) at the Indian Institute of Technology, Madras. He was a Canada Excellence Research Chair professor at the University of Alberta, Edmonton, Canada (2010-2017). He was a research group leader for Nanoscale Science and Devices Group, and a UT-Battelle Corporate Fellow of the Oak Ridge National Laboratory (ORNL) until 2010. He received his Ph.D. in physics from the State University of New York at Albany. He is the
author of over 450 publications in refereed journals, 85 conference proceedings, 45 book chapters, and 45 US patents. He is an elected Fellow of the American Physical Society (APS), the Electrochemical Society (ECS), the American Association for Advancement of Science (AAAS), the American Society of Mechanical Engineers (ASME), the SPIE, American Society of Biomedical and Biological Engineers (AIMBE), Institute of Electrical and Electronics Engineers
(IEEE), and the National Academy of Inventors (NAI). His research is currently focused on developing new concepts in nanomechanical sensing, energy conversion, electrical energy transmission using single wire, and novel concepts for charge separation and storage.
Moayad Aloqaily (S-12, M-17, SM-21) received the Ph.D. degree in CE from the University of Ottawa, Canada, in 2016. He is the Managing Director of xAnalytics Inc., Canada, since 2019. He is currently with the Machine Learning Department, Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI), UAE. His current research interests include the applications of AI and ML, connected and autonomous vehicles, blockchain solutions, and sustainable energy and data management. He is an IEEE Senior Member, ACM Member and a Professional Engineer Ontario (P.Eng.).
Dr. Paul C.-P. Chao received his Ph.D. degree from Michigan State University, USA, and then with Chrysler Corp in Auburn Hill, Detroit, USA before he joined National Chiao Tung University (NCTU), Taiwan. He is currently University Distinguished Professor of the electrical engineering department at NCTU. His research interests
focus on sensors, actuators and their interface circuitry. Dr. Chao has published more than 270 peer-reviewed papers (books, journal papers, conferences, reports) and 38 patents
Liang Zhou he is a professor in Nanjing University of Posts and Telecommunications, China.
His research interests are in the area of multimedia communications and networks. He currently serves as an editor for IEEE Network, IEEE Wireless Communications, etc. He also serves as Co-Chair and Technical Program Committee (TPC) member for a number of international conferences and workshops.
Philip W. T. Pong received a B.Eng. from the University of Hong Kong (HKU) in 2002 with 1st class honours. Then he studied for a PhD in engineering at the University of Cambridge (2002-2005). He was a postdoctoral researcher at the Magnetic Materials Group at the National Institute of Standards and Technology (NIST) for three years. His research interest currently focuses on the development and application of advanced sensing techniques based on electromagnetic sensors in smart grid and smart city. Philip Pong is a Fellow of the Institution of Engineering and Technology (FIET), a Fellow of the Institute of Physics (FInstP), a Fellow of the Energy Institute (FEI), a Fellow of the Institute of Materials, Minerals and Mining (FIMMM), a Fellow of the Hong Kong Institution of Engineers (FHKIE), a Fellow of the NANOSMAT Society (FNS), a chartered physicist (CPhys), a chartered engineer (CEng), a chartered energy engineer, a registered professional engineer (R.P.E. in Electrical, Electronics, Energy), and a Senior Member of IEEE (SMIEEE). He serves on the editorial boards for several IEEE and SCI journals.
Ruidong Li received the M.Sc. degree and Ph.D. degree in computer science from the University of Tsukuba in 2005 and 2008, respectively. Now he is an associate professor at Kanazawa University, Japan. Before joining this university, he was a senior researcher at the NICT, Japan. He serves as the vice chair of IEEE Internet Technical Committee (ITC), and are the founders and chairs of IEEE SIG on Big Data Intelligent Networking and IEEE SIG on Intelligent Internet Edge. He is the associate editor of IEEE IoT Journal, OJCS, DCN and also served as the guest editors for a set of prestigious magazines, transactions, and journals, such as IEEE communications magazine, IEEE network, and IEEE TNSE. He also served as chairs for several conferences and workshops, such as the general co-chairs for MobiWare 2022, IEEE MSN 2021, CPSCom 2021, TPC co-chairs for HotICN 2022, IWQoS 2021, IEEE MSN 2020, BRAINS 2020, and ICCSSE 2019. His research interests include future networks, networked sensing system, IoT, quantum network, and big data.