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W13: Connected Intelligence for IoT networks - VTC2020-Spring Antwerp

W13: Connected Intelligence for IoT networks

Organizers: Sunil Maharaj, University of Pretoria, South Africa, Reza Malekian, Malmö University, Sweden, Daniel E. Lucani, Aarhus University, Denmark, Kris Steenhaut, Vrije Universiteit Brussel, Belgium, Kui Wu, University of Victoria, Canada

Abstract: The Internet of Things (IoT) aims to connect objects through the use of communications and networking, allowing them to exchange data and collect information for system monitoring, analysis, prediction, automation, tracking, among others. There has been considerable growth in the number of connected objects from around 12 billion in 2015 to as high as 50 billion in 2020 with a prediction of 500 billion in 2025. A key reason for this high level of growth is that there are many application areas in which the IoT can be a key enabler, for example, connected and autonomous vehicles, unmanned aerial vehicle, smart cities. These applications can benefit from added analysis and intelligence derived from the collected data, where this intelligence refers to the use of machine learning techniques. However, there are many issues that need to be resolved to achieve the envisioned potential of combining IoT and machine learning, including data processing and analytics, development of standards and communication protocols, system architectures, privacy and security issues as well as the creation of new services and applications.

Sunil Maharaj
Bio: B. T. Maharaj (SM’18) is a full Professor and Dean and currently holds the research position of Sentech Chair in Broadband Wireless Multimedia Communications in the Department of Electrical, Electronic and Computer Engineering at the University of Pretoria. His research interests are in OFDM-MIMO and massive MIMO systems, cognitive radio resource allocation and 5G cognitive radio sensor networks. He is VTS South Africa Chapter chair and was the General Chair for the 2019 IEEE Wireless Africa Conference sponsored by IEEE VTS society.

Reza Malekian
Bio: Reza Malekian (M’10–SM’17) is with the Department of Computer Science and Media technology at Malmö University, Sweden and an Extraordinary Professor in the Department of Electrical, Electronic and Computer Engineering, University of Pretoria. His research interests include advanced sensor networks, Internet of Things, and mobile communications. He is a Chartered Engineer with the Engineering Council of UK and Associate Editor of IEEE Internet of Things Journal and IEEE Transactions on Intelligent Transportation Systems. He is a co-founder of the IEEE VTS society South Africa chapter and was the TPC Co-chair of the 2019 IEEE Wireless Africa Conference sponsored by IEEE VTS Society.

Daniel E. Lucani
Bio: Daniel E. Lucani (SM’16) is currently an Associate Professor with the Department of Engineering, Aarhus University, as well as the CEO and the Lead Scientist of the start-up company Chocolate Cloud ApS since 2014. He was an Associate Professor at Aalborg University from 2012 to 2017, and an Assistant Professor at the University of Porto from 2010 to 2012. He has published over 140 scientific papers in international journals and top-ranked international conferences, as well as eight patents and patent applications. His research interests include communications and networks, network coding, information theory, coding theory, distributed storage and computation, and their applications to cloud computing technologies necessary to enable IoT, BigData, and 5G applications and services. He was the General Co-Chair of the 2014 International Symposium on Network Coding (NetCod2014) and the TPC Co-chair of the 2019 IEEE Wireless Africa Conference sponsored by IEEE VTS Society. He is an Associate Editor of the EURASIP Journal on Wireless Communications and Networking.

Kris Steenhaut
Bio: Kris Steenhaut received the master in Engineering Sciences in 1984 and the master in Applied Computer Sciences in 1986 and the Ph.D. degree in Engineering Sciences from Vrije Universiteit Brussel (VUB) in 1995. Currently she is professor at the department of Electronics and Informatics (ETRO) and the department of Engineering Technology (INDI), Faculty of Engineering Sciences, Vrije Universiteit Brussel, Belgium. Her research interests focus on the design, implementation and evaluation of (Wireless) Sensor Network protocols for building automation, environmental monitoring and smart grids. She has authored over 150 journal and conference publications, including book chapters.

Kui Wu
Bio: Dr. Wu is a Professor in the Dept. of Computer Science, University of Victoria, Canada. Dr. Wu’s expertise covers wireless communications and networks, online social networks, and Cyber Physical Systems. Dr. Wu has demonstrated success in industrial collaboration. He has worked as a consultant for Streetlight Intelligence Inc. (STI), Canada, where he helped design a wireless sensor network for intelligent streetlight control. He has worked with Nokia, Canada, to develop new technologies for fast, privacy-preserving information exchange over mobile social networks. He has worked with InteLuma Inc. on cloud-based data management and analytics for big energy consumption data. His collaborative research with Schneider Electric on power quality analysis of enterprise-level power networks has led to two approved
US patents. He also worked with Terapeak Inc. for big data analytics in ecommerce, and with Ericsson Inc. for tele-cloud computing. His research excellence is evidenced with publications in highly competitive and reputable conferences and journals, such as IEEE Infocom, ACM CIKM, ACM MobiHoc, IEEE IWQoS, IEEE/ACM Transactions on Networking, IEEE Transactions on Wireless Communications, IEEE Transactions on Smart Grid, IEEE Transactions on Computers, IEEE Transactions on Knowledge and Data Engineering, and IEEE Transactions on Parallel and Distributed Computing. His research output has been broadly reported by MIT Tech Review, ACM Tech News, Slashdot, The Atlantic Wire, Times Colonist, The Vancouver Sun, PC World, and many more.