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Keynotes

Prof. Mohsen Guizani

Title: Smart Systems for Livable Communities Along the Vision of 6G

Bio:

Mohsen Guizani (S’85–M’89–SM’99–F’09) received the B.S. (with distinction) and M.S. degrees in electrical engineering, the M.S. and Ph.D. degrees in computer engineering from Syracuse University, Syracuse, NY, USA, in 1984, 1986, 1987, and 1990, respectively. He is currently a Professor at the Computer Science and Engineering Department in Qatar University, Qatar. Previously, he served in different academic and administrative positions at the University of Idaho, Western Michigan University, University of West Florida, University of Missouri-Kansas City, University of Colorado-Boulder, and Syracuse University. His research interests include wireless communications and mobile computing, computer networks, mobile cloud computing, security, and smart grid. He is currently the Editor-in-Chief of the IEEE Network Magazine, serves on the editorial boards of several international technical journals and the Founder and Editor-in-Chief of Wireless Communications and Mobile Computing journal (Wiley). He is the author of nine books and more than 600 publications in refereed journals and conferences. He guest edited a number of special issues in IEEE journals and magazines. He also served as a member, Chair, and General Chair of a number of international conferences. Throughout his career, he received three teaching awards and four research awards. He also received the 2017 IEEE Communications Society WTC Recognition Award as well as the 2018 AdHoc Technical Committee Recognition Award for his contribution to outstanding research in wireless communications and Ad-Hoc Sensor networks. He was the Chair of the IEEE Communications Society Wireless Technical Committee and the Chair of the TAOS Technical Committee. He served as the IEEE Computer Society Distinguished Speaker and is currently the IEEE ComSoc Distinguished Lecturer. He is a Fellow of IEEE and a Senior Member of ACM.

Abstract:

Internet of Things (IoT) is transforming our society and daily lives by connecting the world. This is expected to fundamentally transform industry, business, transportation and healthcare. However, this ubiquitous connection brings with it many challenges that range from security, smart cities, big data analytics, to device-level protocols. It is estimated that there will be billions of IoT devices that need to be connected in the next few years. In addition, more than half of the world’s population live in cities, many with multiple devices that need to be connected to the Internet. This is expected to create a complex infrastructure. These smart services rely on computation and communication resources. Furthermore, being able to provide adequate services using these complex systems present enormous challenges.
On the other hand, the ongoing deployment of 5G cellular systems is continuously exposing its inherent limitations, compared to its original premise as an enabler for Internet of Everything (IoE) applications. These drawbacks are the basis of worldwide activities focused on envisioning the 6G wireless system that can truly integrate IoE complex environments. The 6G system is not expected to be a mere exploration of more spectrum at high-frequency bands, but it will rather be a convergence of upcoming technological trends driven by exciting and complex systems.
In this talk, we review the current efforts by experts around the world to mitigate some of these challenges. Then, we showcase our research activities to contribute to these efforts and advocate possible solutions using AI and other tools. We provide ways on how to manage the available resources intelligently and efficiently in order to offer better living conditions and provide better services. Then, we discuss some of our research results to support a variety of applications including healthcare, security, and intelligent transportation systems. Finally, we conclude by providing concrete recommendations for the roadmap toward 6G.


 

Prof. Dusit Niyato

Title: Applications of Game Theory in Blockchain

Bio:

Dusit Niyato is currently a professor in the School of Computer Science and Engineering and, by courtesy, School of Physical & Mathematical Sciences, at the Nanyang Technological University, Singapore. He received B.E. from King Mongkuk’s Institute of Technology Ladkrabang (KMITL), Thailand in 1999 and Ph.D. in Electrical and Computer Engineering from the University of Manitoba, Canada in 2008. He has published more than 380 technical papers in the area of wireless and mobile networking, and is an inventor of four US and German patents. He has authored four books including “Game Theory in Wireless and Communication Networks: Theory, Models, and Applications” with Cambridge University Press. He won the Best Young Researcher Award of IEEE Communications Society (ComSoc) Asia Pacific (AP) and The 2011 IEEE Communications Society Fred W. Ellersick Prize Paper Award. Currently, he is serving as a senior editor of IEEE Wireless Communications Letter, an area editor of IEEE Transactions on Wireless Communications (Radio Management and Multiple Access), an area editor of IEEE Communications Surveys and Tutorials (Network and Service Management and Green Communication), an editor of IEEE Transactions on Communications, an associate editor of IEEE Transactions on Mobile Computing, IEEE Transactions on Vehicular Technology, and IEEE Transactions on Cognitive Communications and Networking. He was a guest editor of IEEE Journal on Selected Areas on Communications. He was a Distinguished Lecturer of the IEEE Communications Society for 2016-2017. He was named the 2017, 2018 highly cited researcher in computer science. He is a Fellow of IEEE.

Abstract:

Blockchain has emerged as a new ledger technology for data and transactions management. This decentralized ledger technology relies on consensus protocols and incentive mechanisms among a number of participants, i.e., miners and users, to achieve high data security and integrity. However, the participants are rational and will act according to their interests. As such, game theory appears to be a suitable tool to analyze and optimize the blockchain networks. In this talk, we will present the basics of game theory and review some typical game models such as non-cooperative game, hierarchical game, and evolutionary game that are adopted in blockchain. Then, the game formulations for mining pool management, computing resource allocation, and risk management in blockchain networks will be presented. Some research directions will be also discussed.


 

Prof. Jianquan Yao

Title: Applications of Terahertz in 6G

Bio:

Jianquan Yao was born in Shanghai in 1939. He is the professor of College of Precision Instruments and Opto-Electronics Engineering at Tianjin University. He was elected as the academician of the Chinese Academy of Science. Prof.Yao has taken up various important academic leadership roles, such as council member of The Chinese Optical Society(COS),deputy director of laser division of COS, deputy director of Tianjin Laser Society, deputy director Institute of Modern Optical Instruments at Tianjin University, member of The Optical Society of America, member of SPIE, visiting fellow of Center for Laser at University of Southern California. He was also nominated as the member of the national committee of CPPCC, member of the 8th China Association for Promoting Democracy, member of the Standing Committee of 9th and 10th China Association for Promoting Democracy, vice chairman of 10th CPPCC in Tianjin and chairman of 10th Tianjin Municipal Committee for Promoting Democracy.

 


 

Prof. Sherman Shen

Title: Reinforcement Learning for Resource Management in Space-Air-Ground (SAG) Integrated Vehicular Networks

Bio:

Xuemin (Sherman) Shen is a University Professor, Department of Electrical and Computer Engineering, University of Waterloo, Canada. Dr. Shen’s research focuses on wireless resource management, wireless network security, 5G and vehicular ad hoc and sensor networks. He was the Editor-in-Chief of IEEE IoT J, and  served as the General Chair for Mobihoc’15, the Technical Program Committee Chair for IEEE Globecom’16, IEEE Infocom’14, IEEE VTC’10, the Symposia Chair for IEEE ICC’10, the Technical Program Committee Chair for IEEE Globecom’07, the Chair for IEEE Communications Society Technical Committee on Wireless Communications. Dr. Shen was an elected IEEE ComSoc Vice President – Publications, the chair of IEEE ComSoc Distinguish Lecturer selection committee, and a member of IEEE ComSoc Fellow evaluation committee. Dr. Shen received the Excellent Graduate Supervision Award in 2006, and the Premier’s Research Excellence Award (PREA) in 2003 from the Province of Ontario, Canada. Dr. Shen is a registered Professional Engineer of Ontario, Canada, an IEEE Fellow, an Engineering Institute of Canada Fellow, a Canadian Academy of Engineering Fellow, a Royal Society of Canada Fellow, a Chinese Academy of Engineering Foreign Fellow, and a Distinguished Lecturer of IEEE Vehicular Technology Society and Communications Society.

Abstract:

Space-Air-Ground integrated Vehicular Network (SAGVN) is a prominent paradigm, which can simultaneously guarantee ultra-reliability low-latency communications (URLLC) and deliver high-bandwidth traffic anywhere, any environment condition, and any event at anytime. However, it is challenging to manage and allocate the terrestrial network, aerial network (UAV), and space (satellite) resources simultaneously and efficiently, as they have heterogeneous access features in terms of delay, throughput, and coverage range. In addition, high vehicle mobility and real-time decision requirement further render the problem intractable. In this talk, we advocate the usage of reinforcement learning for resource management in SAGVN, which can enable model-free and fast decision makings for adaptive access control, on-demand UAV deployment, and UAV trajectory design. We will also show the detail development of our SAG simulator and some demos.


 

Prof. Weihua Zhuang

Title: Service Provisioning in Future Communication Networks

Bio:

Weihua Zhuang has been with the Department of Electrical and Computer Engineering, University of Waterloo, Canada, since 1993, where she is a Professor and a Tier I Canada Research Chair in Wireless Communication Networks. She is the recipient of 2017 Technical Recognition Award from IEEE Communications Society Ad Hoc & Sensor Networks Technical Committee, and a co-recipient of several best paper awards from IEEE conferences. Dr. Zhuang was the Editor-in-Chief of IEEE Transactions on Vehicular Technology (2007-2013), Technical Program Chair/Co-Chair of IEEE VTC Fall 2017 and Fall 2016, and the Technical Program Symposia Chair of the IEEE Globecom 2011. She is a Fellow of the IEEE, the Royal Society of Canada, the Canadian Academy of Engineering, and the Engineering Institute of Canada. Dr. Zhuang is an elected member in the Board of Governors and VP Publications of the IEEE Vehicular Technology Society.

Abstract:

Future communication networks will accommodate a wide range of emerging services with diverse service quality requirements. The network will integrate a variety of network resources and technologies to support high transmission rate and to enhance quality of experience to mobile users. The traditional one-size-fits-all network architecture cannot efficiently meet the needs of different services, due to the poor scalability, limited adaptability, and inflexibility. Network function virtualization (NFV) enabled by software defined networking (SDN) technology is a promising approach for an agile and flexible networking infrastructure. In this presentation, we will provide an overview of several recent studies for future core networks, including computing and transmission resource allocation, establishment of a customized virtual network topology for multicast services, and networking protocol for reliable end-to-end data delivery.

 

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