Keynote Speakers


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Keynote speakers of ICCSN 2020

Xi Zhang, Texas A&M University, USA
Ph.D. Professor, IEEE Fellow 

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. He 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. He has published more than 300 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.
Prof. Zhang is an IEEE Fellow for contributions to Quality of Service (QoS) theory in mobile wireless networks. 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 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 the Dwight Look College of Engineering at Texas A&M University, College Station, in 2006.
He 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 the 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".
Prof. 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, 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 ICN-NFV-SDN Integration for Edge-AI Enabled Multimedia Big-Data Services Over 5G/6G 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 techniques. While it is widely recognized that various multimedia services such as video/audio streaming and 3D immersive-media will continue dominating the wireless traffics as 5G is converging to imminent 6G networks, how to efficiently support statistical delay-bounded QoS provisioning for wireless multimedia transmissions over 5G/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 5G/6G promising candidate techniques from the perspectives of theory, architectures, protocols, techniques, etc. Towards this end, in this speech we will address the 5G/6G’s fundamental pillar techniques, including information-centric network (ICN), network functions virtualization (NFV), and software defined networks (SDN), Edge Artificial Intelligence (Edge-AI), etc., and how these techniques can be integrated to efficiently support the statistical delay-bounded QoS provisioning for wireless multimedia transmissions over 5G/6G mobile wireless networks. Furthermore, we will also discuss several future research directions and challenges in the general areas for 5G/6G mobile wireless networks.


Teng Joon Lim, National University of Singapore, Singapore
Ph.D. Professor, IEEE Fellow 

Teng Joon (T. J.) Lim (S’92-M’95-SM’02-F’17) obtained the B.Eng. degree in Electrical Engineering with first-class honours from the National University of Singapore (NUS) in 1992, and the Ph.D. degree from the University of Cambridge in 1996. From September 1995 to November 2000, he was a researcher at the Centre for Wireless Communications in Singapore, one of the predecessors of the Institute for Infocomm Research (I2R). From December 2000 to May 2011, he was Assistant Professor, Associate Professor, then Professor at the University of Toronto’s Edward S. Rogers Sr. Department of Electrical and Computer Engineering. Since June 2011, he has been a Professor at the Electrical & Computer Engineering Department of NUS, where he served as a Deputy Head from July 2014 to August 2015. Since September 2015, he has served as Vice-Dean (Graduate Programs) in the NUS Faculty of Engineering.
Professor Lim was an Area Editor of the IEEE Transactions on Wireless Communications from September 2013 to September 2018, and previously served as an Associate Editor for the same journal. He has also served as an Associate Editor for IEEE Wireless Communications Letters, Wiley Transactions on Emerging Telecommunications Technologies (ETT), IEEE Signal Processing Letters and IEEE Transactions on Vehicular Technology. He has volunteered on the organizing committee of a number of IEEE conferences, including serving as the TPC co-chair of IEEE Globecom 2017. He chaired the Singapore chapter of the IEEE Communications Society in 2017 and 2018, and is a Distinguished Lecturer of the IEEE Vehicular Technology Society for 2019-2020.

His research interests span many topics within wireless communications, including cyber-security in the Internet of Things, heterogeneous networks, cooperative transmission, energy-optimized communication networks, multi-carrier modulation, MIMO, cooperative diversity, cognitive radio, and stochastic geometry for wireless networks, and he has published widely in these areas.

Specch Title: Machine Learning for Detection of Attacks on Cyber-Physical Systems

In cyber-physical systems powered by the Internet of Things, multi-hop wireless networking will be commonplace given the ease with which wireless systems can be installed. However, the proliferation of such wireless multi-hope networks introduces an attack vector that has not been studied extensively – the exploitation of poorly maintained intermediate nodes to disrupt communication systems and hence adversely impact the operations of cyber-physical systems that rely on them. In this talk, we will describe a number of research results addressing this problem, in applications ranging from consumer sensor networks to vehicular networks. Both experimental and theoretical aspects of the research will be presented.



Chong-Yung Chi, National Tsing Hua University, Taiwan
Ph.D. Professor, IEEE Fellow 

Chong-Yung Chi (祁忠勇) received B.S. degree from Tatung Institute of Technology, Taipei, Taiwan in 1975, Master degree from National Taiwan University, Taipei, Taiwan in 1977, and Ph.D. degree from the University of Southern California, Los Angeles, California, in 1983 all in Electrical Engineering. Currently, he is Professor of National Tsing Hua University, Hsinchu, Taiwan. He has published more than 240 technical papers (with citations more than 5,000 times by Google-Scholar), including more than 85 journal papers (mostly in IEEE Trans. Signal Processing), more than 140 peer-reviewed conference papers, 3 book chapters, and 2 books, including a recent textbook, Convex Optimization for Signal Processing and Communications from Fundamentals to Applications, CRC Press, 2017 (which has been popularly used in a series of invited intensive short courses at the top-ranking universities in Mainland China since 2010 before its publication). Recently, he received 2018 IEEE Signal Processing Society Best Paper Award, entitled “Outage Constrained Robust Transmit Optimization for Multiuser MISO Downlinks: Tractable Approximations by Conic Optimization,” IEEE Tran. Signal Processing, vol. 62, no. 21, Nov. 2014. His current research interests include signal processing for wireless communications, convex analysis and optimization for blind source separation, biomedical and hyperspectral image analysis, and graph signal processing. He is an IEEE Fellow. He has been a Technical Program Committee member for many IEEE sponsored and co-sponsored workshops, symposiums and conferences on signal processing and wireless communications, including Co-organizer and General Co-chairman of 2001 IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC). He was an Associate Editor (AE) for four IEEE Journals, including IEEE Trans. Signal Processing for 9 years (5/2001~4/2006, 1/2012~12/2015), and he was a member of Signal Processing Theory and Methods Technical Committee (SPTM-TC) (2005-2010), a member of Signal Processing for Communications and Networking Technical Committee (SPCOM-TC) (2011-2016), and a member of Sensor Array and Multichannel Technical Committee (SAM-TC) (2013-2018), IEEE Signal Processing Society.

Speech Title: Local-Density Subspace Distributed Clustering for High-Dimensional Data

Abstract: Distributed clustering is emerging along with the advent of the era of big data. However, most existing established distributed clustering methods focus on problems caused by the large amount of data rather than caused by the large dimension of data. Consequently, they suffer the “curse” of dimensionality (e.g., poor performance and heavy network overhead) when high-dimensional (HD) data are clustered. In this talk, we introduce a novel distributed algorithm, referred to as Local Density Subspace Distributed Clustering (LDSDC) algorithm, to cluster large-scale HD data, motivated by the idea that a local dense region of a HD dataset is usually distributed in a low-dimensional (LD) subspace. LDSDC follows a local-global-local processing structure, including grouping of local dense regions (atom clusters) followed by subspace Gaussian model (SGM) fitting (flexible and scalable to data dimension) at each sub-site, and merging of atom clusters at every sub-site according to the merging information extracted from the fused global SGM at the global site. Moreover, a fast method is introduced to estimate the parameters of SGM for HD data, together with its convergence proof. We evaluate LDSDC on both synthetic and real datasets and compare it with four state-of-the-art methods. The experimental results demonstrate that the proposed LDSDC yields best overall performance