Xi Zhang, Ph.D. Professor, IEEE Fellow
Texas A&m University, USA
Professor Xi Zhang received the B.S. and M.S. degrees from Xidian University, Xi'an, China, the M.S. degree from Lehigh University, Bethlehem, PA, USA all in electrical engineering and computer science, and the Ph.D. degree in electrical engineering and computer science (Electrical Engineering-Systems) from The University of Michigan, Ann Arbor, MI, USA. Dr. Zhang is currently a Full Professor and the Founding Director of the Networking and Information Systems Laboratory, Department of Electrical and Computer Engineering, Texas A&M University, College Station. Professor Zhang is an IEEE Fellow for contributions to Quality of Service (QoS) theory in mobile wireless networks. He has published more than 400 research papers in the areas of wireless networks and communications systems, mobile computing, network protocol design and modeling, statistical communications, random signal processing, information theory, and control theory and systems. He received the U.S. National Science Foundation CAREER Award in 2004 for his research in the areas of mobile wireless and multicast networking and systems. He is an IEEE Distinguished Lecturer in both IEEE Communications Society and IEEE Vehicular Technology Society. He received the Best Paper Awards in the IEEE GLOBECOM 2020, IEEE ICC 2018, IEEE GLOBECOM 2014, IEEE GLOBECOM 2009, IEEE GLOBECOM 2007, and IEEE WCNC 2010, respectively. One of his IEEE Journal on Selected Areas in Communications Papers has been listed as IEEE BEST READINGS PAPERS in Cognitive Radio Networks and QoS Provisioning in Mobile Wireless Networking. He also received the TEES Select Young Faculty Award for Excellence in Research Performance from College of Engineering at Texas A&M University in 2006, and Outstanding Professor Award from Department of Electrical and Computer Engineering, at Texas A&M University in 2020. Professor Zhang was a Research Fellow with the School of Electrical Engineering, University of Technology, Sydney, Australia, and the Department of Electrical and Computer Engineering, James Cook University, Australia, under a Fellowship from the Chinese National Commission of Education. He was with the Networks and Distributed Systems Research Department, AT&T Bell Laboratories, Murray Hills, NJ, and with AT&T Laboratories Research, Florham Park, NJ, USA.
Professor Zhang is serving or has served as an Editor for the IEEE TRANSACTIONS ON COMMUNICATIONS, an Editor for the IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, an Associate Editor for the IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, an Associate Editor for IEEE TRANSACTIONS ON COMPUTER NETWORK SCIENCE AND ENGINEERING, a Guest Editor for the IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS for the special issue on "Broadband Wireless Communications for High Speed Vehicles", a Guest Editor for the IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS for the special issue on "wireless video transmissions", an Associate Editor for the IEEE COMMUNICATIONS LETTERS, a Leading Guest Editor for IEEE TRANSACTIONS ON COMPUTER NETWORK SCIENCE AND ENGINEERING for the special issue on " AI-Driven 6G Mobile Wireless Networks: Key Enabling Theories, Architectures, Protocols, and Techniques" and IEEE Communications Magazine for the special issue on "Advances in Cooperative Wireless Networking", a Leading Guest Editor for the IEEE Communications Magazine for the special issue on "Underwater Wireless Networking: Theory and Applications", a Guest Editor for the IEEE WIRELESS COMMUNICATIONS MAGAZINE for the special issue on "next generation of CDMA versus OFDMA for 4G wireless applications" an Editor for the JOHN WILEY'S JOURNAL ON WIRELESS COMMUNICATIONS AND MOBILE COMPUTING, an Editor for the JOURNAL OF COMPUTER SYSTEMS, NETWORKING, AND COMMUNICATIONS, and an Associate Editor for the JOHN WILEY'S JOURNAL ON SECURITY AND COMMUNICATIONS NETWORKS, an Area Editor for the ELSEVIER Journal on Computer Communications, and a Guest Editor for JOHN WILEY'S JOURNAL ON WIRELESS COMMUNICATIONS AND MOBILE COMPUTING for the special issue on "next generation wireless communications and mobile computing".
Professor Zhang is serving or has served as the TPC Chair for the IEEE GLOBECOM 2011, TPC Vice-Chair for IEEE INFOCOM 2010, TPC Area Chair for INFOCOM 2012, TPC Chair for the IEEE INFOCOM 2015 - Workshop on Mobile Cloud and Virtulization, Hong Kong, China, General Chair for IEEE ICC 2011 - Workshop on Advanced Networking Technologies for Smart-Services Based Clouding Computing, TPC Co-Chair for the IEEE ICDCS 2011 - Workshop on Data Center Performance, Panel/Demo/Poster Chairs for the ACM MobiCom 2011, General Chair for the ACM QShine 2010, TPC Co-Chair for IEEE INFOCOM 2009 - Mini-Conference, Symposium Co-Chair for IEEE GLOBECOM 2008 - Wireless Communications Symposium, Symposium Co-Chair for the IEEE ICC 2008 - Information and Network Security Symposium, Symposium Chair for IEEE/ACM International Cross-Layer Optimized Wireless Networks Symposium 2006, 2007, and 2008, respectively, the TPC Chair for IEEE/ACM IWCMC 2006, 2007, and 2008, respectively, the Poster Chair for IEEE INFOCOM 2008, the Student Travel Grants Co-Chair for IEEE INFOCOM 2007, the Panel Co-Chair for IEEE ICCCN 2007, the Poster Chair for IEEE/ACM MSWiM 2007 and IEEE QShine 2006, Executive Committee Co-Chair for QShine, the Publicity Chair for IEEE/ACM QShine 2007 and IEEE WirelessCom 2005, and the Panelist on the Cross-Layer Optimized Wireless Networks and Multimedia Communications at IEEE ICCCN 2007 and WiFi-Hotspots/WLAN and QoS Panel at IEEE QShine 2004. He has served as the TPC members for more than 100 IEEE/ACM conferences, including IEEE INFOCOM, IEEE Globecom, IEEE ICC, IEEE WCNC, IEEE VTC, IEEE/ACM QShine, IEEE WoWMoM, IEEE ICCCN, etc.
Speech Title: QoS-Driven 6G Promising Candidate Techniques Over Multimedia Mobile Wireless Networks
Abstract: While 5G is being deployed around the world, the efforts and initiatives from academia, industry, standard bodies have started to look beyond 5G, conceptualize 6G mobile wireless networks, and propose various 6G promising candidate techniques. While it is widely recognized that various multimedia services such as video/audio streaming and even 3D immersive-media (e.g., XR – AR/MR/VR) will continue dominating the wireless traffics in 6G networks, how to efficiently support statistical delay and error-rate bounded QoS provisioning for wireless multimedia transmissions over 6G remains one of the most difficult challengers because real-time big-data multimedia services are both highly spectrum-/computation-intensive and time-sensitive, for which the deterministic delay-bounded guarantee is practically infeasible due to randomly time-varying wireless channels and interferences. To overcome these difficulties, the academia and industry have made a great deal of efforts in developing various 6G promising candidate techniques from the perspectives of theory, architectures, protocols, techniques, etc. Towards this end, in this speech we will address the 6G’s fundamental pillar techniques, including information-centric network (ICN), network functions virtualization (NFV), and software defined networks (SDN), Edge Artificial Intelligence (Edge-AI), Cell-Free massive MIMO (CF m-MIMO), Finite Blocklength Coding (FBC),Terahertz (THz) Wireless Nano-Networks, Unmanned Aerial Vehicle(UAV), Intelligent Reflecting Surface (IRS), etc., and how these techniques can be integrated to efficiently support the statistical delay and error-rate bounded QoS provisioning for wireless multimedia transmissions over 6G mobile wireless networks. Furthermore, we will also discuss several future research directions and challenges in the general areas for 6G mobile wireless networks.
Yonghui Li, ARC Future Fellow, IEEE Fellow
Professor. Dr., The University of Sydney, Australia
Yonghui Li is a Professor and Director of Wireless Engineering Laboratory, in School of Electrical and Information Engineering, the University of Sydney. He is the recipient of the prestigious Australian Research Council (ARC) Queen Elizabeth II Fellowship in 2008 and ARC Future Fellowship in 2012. His current research interests are in the area of wireless communications, Internet of Things, Wireless networks, 5G and wireless AI. He participated in $500million Australian national Smart Grid Smart City project, the world first large-scale demonstration project. He has published more than 400 papers in IEEE journals and conferences. Several of his journal papers have been included in ESI highly cited papers. According to google scholar, his research works have been cited more than 12000 times. He is now an editor for IEEE Transactions on Communications, and IEEE Transactions on Vehicular Technology. He also served as a guest editor for several special issues of IEEE journals, such as IEEE JSAC special issue on Millimeter Wave Communications, IEEE Communications Magazine on Wireless AI, IEEE IoT Journal, IEEE Transactions on Industrial Informatics, IEEE Access. He received several best paper awards from IEEE International Conference on Communications (ICC) 2014, IEEE PIMRC 2017 and IEEE Wireless Days Conferences (WD) 2014.
Speech Title: 5G IoT networks
Abstract: Connected smart objects, platforms and environments have been identified as the next big technology development, enabling significant society changes and economic growth. The entire physical world will be connected to the Internet, referred to as Internet of Things (IoT). The intelligent IoT network for automatic interaction and processing between objects and environments will become an inherent part of areas such as electricity, transportation, industrial control, utilities management, healthcare, water resources management and mining. Wireless networks are one of the key enabling technologies of the IoT. They are likely to be universally used for last mile connectivity due to their flexibility, scalability and cost effectiveness. The attributes and traffic models of IoT networks are essentially different from those of conventional communication systems, which are designed to transmit voice, data and multimedia. IoT access networks face many unique challenges that cannot be addressed by existing network protocols; these include support for a truly massive number of devices, the transmission of huge volumes of data burst in large-scale networks over limited bandwidth, and the ability to accommodate diverse traffic patterns and quality of service (QoS) requirements. Some IoT applications have much stringent latency and reliability requirements which cannot be accommodated by existing wireless networks. Addressing these challenges requires the development of new wireless access technologies, underlying network protocols, signal processing techniques and security protocols. In this talk, I will present the IoT network development, architecture, key challenges, requirements, potential solutions and recent research progress in this area, particularly in 5G.
Zhongfeng Wang, Professor
Nanjing University, China
Dr. Zhongfeng Wang received both BS and MS degrees from Tsinghua University. He obtained the Ph.D. degree from the University of Minnesota, Minneapolis, in 2000. He has been working for Nanjing University, China, as a Distinguished Professor since 2016. Previously he worked for Broadcom Corporation, California, from 2007 to 2016 as a technical director. Before that, he worked for Oregon State University and National Semiconductor Corporation successively.
Dr. Wang is a world-recognized expert on Low-Power High-Speed VLSI Design for Signal Processing Systems. He has published over 250 technical papers with six best paper awards received from IEEE, including Circuits and Systems (CAS) society VLSI Transactions Best Paper Award in 2007. He has edited one book “VLSI” and held tens of U.S. and China patents. In the current record, he has had nearly ten papers ranked among (annually) top 25 downloaded manuscripts in IEEE Trans. on VLSI Systems. In the past, he has served as Associate Editor for IEEE Trans. on CAS-I, CAS-II, and VLSI Systems for many terms. Meanwhile, he has contributed significantly to the industrial standards. So far, his technical proposals have been adopted by more than fifteen international networking standards. In 2015, he was elevated to the Fellow of IEEE for contributions to VLSI design and implementation of FEC coding. His current research interests are in the area of Optimized VLSI Design for Digital Communications and Deep Learning.
Speech Title: Sparsity-Aware Accelerator Design for Deep Neural Networks
Abstract: Following a brief introduction to VLSI Signal Processing, we will first present a new architecture of CNN inference accelerator based on fast convolution algorithm and dynamic computing flow, then discuss the hardware design optimization of GAN based on algorithmic transformation, and an optimized architectural design for reconfigurable convolution-deconvolution operations. Thereafter, the talk will be focused on the design of a reconfigurable and sparsity-aware hardware accelerator for CNN inference. It will be shown that the proposed design can achieve significantly higher computation efficiency compared to prior arts.
Wanyang Dai, Professor
SIR Forum President and CEO, U.S.A.
Wanyang Dai is a Distinguished Professor in Nanjing University and Chief Scientist in DepthsData Digital Economic Research Institute. He is the current President & CEO of U.S. based (Blockchain & Quantum-Computing) SIR Forum (Industrial 6.0 Forum), President of Jiangsu Probability & Statistical Society in China, Chairman of Jiangsu BigData-Blockchain and Smart Information Special Committee in China. He received his Ph.D. from Georgia Institute of Technology in USA. He was a MTS and principal investigator in U.S. based AT&T Bell Labs (currently Nokia Bell Labs) with some project won “Technology Transfer” now called cloud system. He published numerous influential papers in big name journals including Operations Research, Communications in Mathematical Sciences, and Journal of Computational and Applied Mathematics. He received various academic awards and has presented over 40 keynote/plenary speeches in IEEE/ACM, computational and applied mathematics, biomedical engineering, mathematics & statistics, and other international conferences. He has been serving as IEEE/ACM conference chairs, editors-in-chief and editorial board members for various international journals ranging from wireless engineering and technology, pure mathematics & statistics to their applications.
Speech Title: Blockchained quantum computing and massive MIMO communications with federated learning and cognitive radio
A generalized system model with federated learning and blockchained quantum computing for MIMO or Massive MIMO communications over a quantum or a wireless channel will be presented. Both multiuser MIMO uplink and MIMO downlink beamforming systems with cognitive radio will be covered. The blockchained quantum computing is targeted to enhance the security and efficiency of the current cloud computing in order to further support and interact with the future Internet, 6G (or beyond) wireless communication, IoT, and edge computing. Both optimization based and game-theoretical based evolving convolutional neural net algorithms for system resource coordination and cooperation with central model training and local learning via blockchain long memory history data will be designed and analyzed. Simulations and numerical examples will be presented to illustrate the effectiveness and usefulness of our studies.