WOCC2019-Speakers

Plenary Speakers


	Prof. Huiling Zhao Professor, China Institute of Communications China Communication Standardization Association Title: Challenges of 5G Network Technologies Challenges of 5G Network Technologies The superiority of next generation 5G wireless communications lies in providing very high data rates, extremely low latency, and significantly enhanced QoS, compared with current 4G LTE networks. In this plenary talk, we will discuss the requirements and the characteristics of 5G network. Subsequently, we will focus on 5G service-oriented architecture which includes a comparison between Standalone and Non-Standalone Networking; 5G network cloudification including the cloud native key technology, the transition trend of 5G network architecture as well as the application of NFV in 5G network; the function requirements, the overall architecture and the challenges of 5G network slicing; the architecture, typical applications and basic characteristics in 5G network edge computing. Finally, we will discuss the Challenges and Prospects of 5G Network Technology.
Ms. Zhao Huiling, senior engineer at professor level, is now the Chairperson of Network and Service Capability Technical Committee of China Communication Standardization Association (CCSA), the Chairperson of the Information Communication Network Technology Committee of CIC, and deputy director of Technical Committee of SDN /NFV /AI Industry Alliance. She used to be the President of China Telecom Cloud Computing Research Center, Vice President of China Telecom Beijing Research Institute. Ms. Zhao specializes in the research on telecom network. She has won many prizes of sci-tech programs at national and ministerial levels. She authored 12 technical books and published more than 100 technical papers.
	Dr. Xiang Liu Professor, Futurewei, USA IEEE Fellow, OSA Fellow Title: Evolving Optical Networks towards the Decade of the 2020s Evolving Optical Networks towards the Decade of the 2020s To meet the demands of emerging applications such as 5G, 8K, AR/VR in the upcoming decade of the 2020s, optical networks need to be further evolved to provide high capacity, low latency, accurate synchronization, and service-driven network slicing. In this plenary talk, we will review enabling technologies in optical transport and access networks, such as high-speed coherent transmission, super-C-band optical amplification, all-optical cross-connect (OXC), mobile-optimized optical transport network (M-OTN) and 50-Gb/s passive optical network (50G-PON). We will also briefly discuss the ongoing technical topics being explored by the Optical Networks 2020 (ON2020) industry connection activity under IEEE, covering photonic integration, optical transmission layer, transport network protocols, and network autonomy and control, to better address the future network demands.
Dr. Xiang Liu is Vice President of Optical Technologies, Transport and Access Research at Futurewei Technologies, USA. He has more than 20 years of experience in the optical communication industry. At Huawei, he is responsible for advanced optical technologies and industry development for the transmission and access network product line. Before joining Huawei, Dr. Liu had been with Bell Labs working on high-speed optical transmission technologies for 14 years. He has a Ph.D. degree in applied physics from Cornell University. Dr. Liu has authored over 340 publications and holds over 90 US patents. He has served as a General Co-Chair of OFC 2018, and is currently serving as a Deputy Editor of Optics Express, a Co-Editor of IEEE Communications Magazine’s Optical Communications Series, and an Executive Committee member of the IEEE ON2020 industry connection activity. Dr. Liu is a Fellow of the IEEE and the OSA.
	Dr. Tao Sun Professor, China Mobile Research Institute CMRI Fellow Title: Service-based 5G Architecture: from standard to practice Service-based 5G Architecture: from standard to practice The talk will introduce the key features of 5G network architecture design in Phase 1 (3GPP Release 15). Those feature include such as Network Slicing, Edge Computing, etc. It will also give an over view of the key architecture feature of 5G in Phase 2 (3GPP Release 16), e.g., URLLC, Vertical LAN, big data analytics used for 5G. The talk will also discuss some gap of the architecture from practice point view and discuss how the service-based 5G architecture can best meet with variant vertical requirement.
Dr. Sun Tao got the B.S. degree on Automation in 2003, and Ph.D. degree on Control Science and Engineering in 2008, both from Tsinghua University, China. He currently is leading the research and standardization of the mobile network architecture and service evolution. He worked on directions such as network slicing, 5G capabilities enablement for verticals, introducing AI to network and new IP technologies. He has more than 10 years of experience on Mobile network standardization work. He has served as (co-)Rapporteurs of several 3GPP Study/Work items such as Local IP Access, IPv6 Migration, Flexible Mobile Service Steering, Next Generation Network Architecture Study, and 5G System Architecture. He is one of the main contributor proposed the service-based architecture (SBA) for 5G.
	Dr. Yu-Dong Yao Professor, Dept. of Electrical and Computer Engineering Stevens Institute of Technology, New Jersey, USA IEEE Fellow Title: Full Radio Spectrum Awareness Using Machine Learning and Deep Learning Full Radio Spectrum Awareness Using Machine Learning and Deep Learning Deep learning (DL) is a new machine learning (ML) methodology that has found successful implementations in many application domains. This presentation discusses research results in the use of ML and DL in radio spectrum activity identification, modulation classification, medium access protocol classification, and wireless service identification.
Dr. Yu-Dong Yao has been with Stevens Institute of Technology, Hoboken, New Jersey, since 2000 and served as a Department Chair of Electrical and Computer Engineering from 2007 to 2018. Previously, from 1989 to 2000, Dr. Yao worked for Carleton University, Ottawa, Spar Aerospace Ltd., Montreal, and Qualcomm Inc., San Diego. His research interests include wireless communications, cognitive radio, and machine learning and deep learning. He holds one Chinese patent and thirteen U.S. patents. Dr. Yao was an Associate Editor of IEEE Communications Letters (2000-2008) and IEEE Transactions on Vehicular Technology (2001-2006), and an Editor for IEEE Transactions on Wireless Communications (2001-2005). For his contributions to wireless communications systems, he was elected a Fellow of IEEE (2011), National Academy of Inventors (2015), and Canadian Academy of Engineering (2017). In 2018, he received an honorary degree, Master of Engineering (Honoris Causa), from Stevens Institute of Technology. He received the B.Eng. and M.Eng. degrees from Nanjing University of Posts and Telecommunications, Nanjing, China, in 1982 and 1985, respectively, and the Ph.D. degree from Southeast University, Nanjing, China, in 1988, all in electrical engineering.
	Dr. Zhisheng Niu Professor, Dept. of Electronic Engineering, Tsinghua University Director,Tsinghua-Hitachi Joint Lab on Environment-Harmonious ICT Online Contents Board, IEEE Communication Society IEEE Fellow, IEICE Fellow Title: Mobility-Enhanced Edge inTelligence (MEET) for 6G Mobility-Enhanced Edge inTelligence (MEET) for 6G Mobility has been considering as a major obstacle to mobile communications because it may cause fading, shadowing, near-far effect, handover, roaming, etc. However, as the electric vehicles and autonomous cars are getting more and more powerful with rich capabilities of sensing, communicating, computing, caching, and self-powering, they can be transformed to mobile edge clouds (MEC) or even mobile base stations (MBS). Under this new framework, they can not only provide task-offloading services to the user equipment (UE), but also to disseminate the edge intelligence to the whole network while moving. In this regard, mobility is in fact exploited to enhance the network intelligence so that 6G services can be realized cost-effectively. The key questions then include (but not limit to): 1) how to collect and process the big data in a distributed manner and generate the edge intelligence locally? 2) how to disseminate the distributed intelligence across the whole network effectively? 3) how to find and assign the best opportunities to the moving users? 4) how to efficiently provide reliability and latency guarantees to mission-critical applications?
Zhisheng Niu graduated from Beijing Jiaotong University, China, in 1985, and got his M.E. and D.E. degrees from Toyohashi University of Technology, Japan, in 1989 and 1992, respectively. During 1992-94, he worked for Fujitsu Laboratories Ltd., Japan, and in 1994 joined with Tsinghua University, Beijing, China, where he is now a professor at the Department of Electronic Engineering. He was a Visiting Researcher of National Institute of Information and Communication Technologies (NICT), Japan (10/1995 – 02/1996), Hitachi Central Research Laboratory, Japan (02/1997 – 02/1998), Polytechnic University of New York, USA (01/2002 – 02/2002), University of Hamburg, Germany (09/2014 – 10/2014), and University of Southern California, USA (11/2014-12/2014). His major research interests include queueing theory and traffic engineering, wireless communications and mobile Internet, vehicular communications and smart networking, and green communication and networks. Dr. Niu has served as Chair of Emerging Technologies Committee (2014-15), Director for Conference Publications (2010-11), and Director for Asia-Pacific Board (2008-09) in IEEE Communication Society, and currently serving as Director for Online Contents (2018-19) and Area Editor of IEEE Trans. Green Commun. & Networks. He received the Outstanding Young Researcher Award from Natural Science Foundation of China in 2009, Best Paper Award from IEEE Communication Society Asia-Pacific Board in 2013, and 2018 Distinguished Technical Achievement Recognition Award from IEEE Communications Society Green Communications and Computing Technical Committee. He was also selected as a distinguished lecturer of IEEE Communication Society (2012-15) as well as IEEE Vehicular Technologies Society (2014-18). He is a fellow of both IEEE and IEICE.
	Dr. Li-Chun Wang Chair Professor, Dept. Electrical and Computer Engineering National Chiao Tung University, Taiwan IEEE Fellow Title: Machine Learning for Future Cellular Mobile Networks Machine Learning for Future Cellular Mobile Networks We are witnessing the transition into the fifth generation (5G) cellular mobile systems. Is there any need for beyond 5G? A significant change in recent wireless networks is that much more data are collected from various sources, including channels, locations, radio access options, and network states. The availability of this large amount and various types of data can potentially transform the current knowledge-driven mobile network into a more powerful data-driven cognitive and learning-assisted mobile network. In this talk, we discuss how machine learning algorithms can address the performance issues of high-capacity ultra-dense small cells in an environment with dynamical traffic patterns and time-varying channel conditions. First, we introduce a bi-adaptive self-organizing network (Bi-SON) to exploit the power of data-driven resource management in ultra-dense small cells (UDSC). On top of the Bi-SON framework, we propose a polynomial regression supervised learning, and an affinity propagation unsupervised learning algorithm to improve energy efficiency and reduce interference of the operator deployed and the plug-and-play small cells, respectively. Finally, we discuss the opportunities and challenges of reinforcement learning and deep reinforcement learning (DRL) in more decentralized, ad-hoc, and autonomous modern networks, such as Internet of things (IoT), vehicle-to-vehicle networks, and unmanned aerial vehicle (UAV) networks.
Li-Chun Wang (M'96 -- SM'06 -- F'11) received Ph. D. degree from the Georgia Institute of Technology, Atlanta, in 1996. From 1996 to 2000, he was with AT&T Laboratories, where he was a Senior Technical Staff Member in the Wireless Communications Research Department. Since August 2000, he has joined the Department of Electrical and Computer Engineering of National Chiao Tung University in Taiwan and is jointly appointed by Department of Computer Science and Information Engineering of the same university. Dr. Wang was elected to the IEEE Fellow in 2011 for his contributions to cellular architectures and radio resource management in wireless networks. He won the Distinguished Research Award of National Science Council, Taiwan (2012). He was the co-recipients of IEEE Communications Society Asia-Pacific Board Best Award (2015), Y. Z. Hsu Scientific Paper Award (2013), and IEEE Jack Neubauer Best Paper Award (1997). His current research interests are in the areas of software-defined mobile networks, heterogeneous networks, and data-driven intelligent wireless communications. He holds 23 US patents, and have published over 300 journal and conference papers, and co-edited a book, “Key Technologies for 5G Wireless Systems,” (Cambridge University Press 2017).
	Dr. Kevin Lu Teaching Professor, Dept. of Electrical and Computer Engineering Stevens Institute of Technology, New Jersey, USA Title: Ethics of Autonomous and Intelligent Systems Ethics of Autonomous and Intelligent Systems The fourth industrial revolution or Industry 4.0 rapidly advances intelligent automation through cyber-physical systems, the internet of things, cloud computing, and cognitive computing. On the other hand, these autonomous and intelligent systems urgently require societal and policy guidelines for ethically aligned design. The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems, an Industry Connections activity within the IEEE Standards Association, has developed the first edition of Ethically Aligned Design: A Vision for Prioritizing Human Well-being with Autonomous and Intelligent Systems. It provides a conceptual framework from principles to practice, including analyses and recommendations as guidance for consideration by governments, businesses, and the public in the advancement of autonomous and intelligent systems for the benefit of humanity. In addition, the IEEE P7000 standards projects develop consensus standards through an open process to ensure that these autonomous and intelligent systems incorporate broadly accepted ethical considerations.
Dr. Kevin W. Lu is a teaching professor of electrical and computer engineering at Stevens Institute of Technology. He teaches the internet of things, digital system design, and engineering design. He is a member of the IEEE Standards Association Standards Board, Audit Committee, New Standards Committee, and Standards Education Committee; and chair of Industry Connections Committee. He was a chief scientist and executive director at Telcordia. He received B.S. in control engineering from National Chiao Tung University, and M.S. and D.Sc. in systems science and mathematics from Washington University in St. Louis.

Keynote Speakers


	Dr. Zesong Fei Professor, School of Information and Electronics Beijing Institute of Technology Title: UAV Communications for 5G and Beyond UAV Communications for 5G and Beyond Unmanned aerial vehicles (UAVs) are expected to be an important component of the upcoming wireless networks that can potentially facilitate wireless broadcast and support high rate transmissions. Unlike the communications with fixed infrastructure, UAV has salient attributes, such as flexible deployment, strong line-of-sight (LoS) connection links, and additional design degrees of freedom with the controlled mobility. In this talk, we introduce essential background and the space-air-ground integrated networks, and then explore related research challenges faced by the emerging integrated network architecture. In particular, we highlight various advanced technologies based on UAV platforms from the viewpoints of communication, computing and caching. We conclude with directions for future research.
Zesong Fei (M’07-SM’16) received the B.Eng. degree in electronic engineering from the Beijing Institute of Technology (BIT), China, in 1999, and the Ph.D. degree in electronic engineering from BIT, China, in 2004. He is currently a Professor with the Research Institute of Communication Technology (RICT) of BIT. From 2012 to 2013, he was a Visiting Scholar with the University of Hong Kong, Hong Kong. His main research interests include error control coding, physical-layer security, cooperative communications and networking, and quality of experience. Dr. Fei has published over 50 papers in the IEEE journals. He served as a Lead Guest Editor for the Wireless Communications and Mobile Computing and the China Communications, Special Issue on Error Control Coding. He is the senior member of Chinese Institute of Electronics and China Institute of Communications.
	Dr. Yejun He Full Professor, IET Fellow The College of Electronics and Information Engineering, Shenzhen University Director,Guangdong Engineering Research Center of Base Station Antennas and Propagation Shenzhen Key Laboratory of Antennas and Propagation Title: Polar Codes: Overview, Recent Research and Challenges Polar Codes: Overview, Recent Research and Challenges Polar code is the only channel coding method that can reach the Shannon limit in theory so far. The construction of polar code is based on the phenomenon of channel polarization. In this talk, we firstly start with an overview of channel coding. Then we analyze the channel polarization phenomena and introduce recent advances of polar codes. How to construct and decode is very important for improving the performance of polar codes. We will introduce our work in construction and decoding algorithm for polar codes. Finally, we discuss the challenges of polar codes.
Yejun He (heyejun@126.com) is a full professor with the College of Electronics and Information Engineering, Shenzhen University, China, where He is the Director of Guangdong Engineering Research Center of Base Station Antennas and Propagation, and the Director of Shenzhen Key Laboratory of Antennas and Propagation, Shenzhen. He has authored or coauthored more than 140 research papers and books (chapters) and holds 20 patents. His research interests include wireless mobile communication, antennas and radio frequency. Prof. He received the Ph.D. degree in Information and Communication engineering from Huazhong University of Science and Technology (HUST), Wuhan, China, in 2005. From 2005 to 2006, he was a Research Associate with the Department of Electronic and Information Engineering, Hong Kong Polytechnic University, Hong Kong. From 2006 to 2007, he was a Research Associate with the Department of Electronic Engineering, Faculty of Engineering, Chinese University of Hong Kong, Hong Kong. In 2012, he was a Visiting Professor with the Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada. From 2013 to 2015, he was an Advanced Visiting Scholar (Visiting Professor) with the School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA. Dr. He is serving as Associate Editor of IEEE Network, IEEE Access, International Journal of Communication Systems. He has served as a Reviewer for various journals such as the IEEE Transactions on Communications, the IEEE Transactions on Wireless Communications, the IEEE Transactions on Industrial Electronics, the IEEE Journal on Selected Areas in Communications, the IEEE Transactions on Antennas and Propagation, the IEEE Antennas and Wireless Propagation Letters, the IEEE Transactions on Vehicular Technology, the IEEE Wireless Communications, the IEEE Communications Letters. He was the TPC Co-Chair of WOCC 2015, Wireless Symposium Co-Chair of WOCC 2016, and Wireless Communications and Networking Symposium Co-Chair of WOCC 2019. He served as an Organizing Committee Vice Chair of International Conference on Communications and Mobile Computing (CMC 2010). He is currently General Chair of IEEE ComComAp2019. He is a Fellow of IET, and a Chair of IEEE Antennas and Propagation Society-Shenzhen Chapter.
	Dr. Lijun Dong Senior Staff Researcher Huawei, USA Title: In-Network Intelligence for Future Internet In-Network Intelligence for Future Internet The current Internet has its success in providing the services such as best effort packet transmission, traffic engineering, and QoS differentiation. But it is envisioned that the network nodes in the future Internet would be enabled with more intelligence and capabilities, in order to accelerate service and content delivery, guarantee user customized quality of experience. A unified framework is designed that evolutionally extends to the current IP protocol to bring the intelligence of user experience, continuity and awareness of services into the network. Several use cases will be discussed to demonstrate how the framework can be leveraged to provide in-network intelligence in the areas of Vehicular Networking, Mobile Edge Cloud, and Internet of Things for better user experience and performance improvement. Going beyond the in-network intelligence capability, a brief introduction to the new services in the Network 2030 is given.
Dr. Lijun Dong is a Senior Staff Researcher at Huawei’s Future Networks and Innovation Group in USA. She has broad and in-depth researches in the areas of Internet of Things, Machine-to-Machine communications, Information-Centric Networking and Future Internet Architecture for more than a decade. She has served for many international conferences: publicity chair of CSCN 2016, TPC co-chair of ICNC 2017, TPC member of Globecom 2011, ICNC 2012, ICNC 2013, iThings 2013, ISCC 2017 and 2018, HiPNet 2018. She is one of the board members of the WOCC conference. She has been an active and influential contributor, and responsible for internal strategy development and execution for standards, including oneM2M, IETF, 3GPP and ITU. She is the major inventor to 20+ granted patents. She has 40+ publications and several book chapters.
	Dr. Jen-Yeu Chen Associate Professor Dept. of Electrical Engineering National Dong Hwa University, Taiwan Title: QoS-Aware Hybrid Scheduling for Geographical Zone-Based Resource Allocation in Cellular Vehicle-to-Vehicle Communications QoS-Aware Hybrid Scheduling for Geographical Zone-Based Resource Allocation in Cellular Vehicle-to-Vehicle Communications With a focus on cellular vehicle-to-vehicle (C-V2V) communications, in this talk, we introduce a zone-based hybrid scheduling mechanism through appropriate centralized scheduling in an eNB/gNB followed by distributed scheduling in each Moving UE to largely reduce eNBs/gNBs’ loading on signaling as well as computation and hence diminish the energy cost in scheduling signal transmissions and latency in redundant scheduling but maintain the required quality of services of C-V2V communications. More importantly, with the creation of an efficient channel selection algorithm through the proposed co-channel interference estimation and a novel threshold design, our solution could achieve virtually the same link rate of all C-V2V communications as the pure eNB/gNB centralized scheme but with substantially lower computation costs and with less signaling traffic for radio resource allocation.
Dr. Chen obtained his PhD from School of Electrical and Computer Engineering, Purdue University, USA. Prior to his PhD study, he was with Chunghwa Telecom Laboratories, CHTL, Taiwan. He is a 3GPP regular meeting delegate by the collaboration with ITRI, Taiwan. In particular, in recent years, he focuses on machine learning, optimization, decision and control problems for effective and energy-efficient designs in next generation wireless communication systems. He has developed energy-efficient and computing-effective protocols/algorithms for next generation IoT applications. He is also developing practical AIoT systems to solve real-life problems. Some other problems he tackled were data aggregation/fusion, distributed consensus, power control, scheduling and synchronization in wireless ad hoc networks, intrusion detection in a large scale wireless sensor network, and coordinated probabilistic map construction by the mobile robotic sensor network.
	Dr. Li Pei Professor, Key Lab of All Optical Network & Advanced Telecommunication Network Institute of Lightwave technology Beijing Jiaotong University Title: Opto-electronic Devices based on Graphene Opto-electronic Devices based on Graphene The ever-increasing need for integration and miniaturization of photonic devices and systems drives the development of the nanophotonics during the past few decades. Although various schemes have been proposed to squeeze the physical size of devices, surface plasmon polaritons (SPPs), electromagnetic waves at metal-dielectric interface, are regarded as the most promising choice for shrinking conventional optical devices to the nanoscale as they can break the diffraction limit and transport light at subwavelength scale. Those metal-based structures usually focus on the communication wavelength, because it shows large loss, poor mode binding and no tunability in terahertz and infrared wavelength. Compared with the traditional noble metal materials such as gold and silver, the surface conductivity of graphene is almost purely imaginary in terahertz wavelength. Especially, its chemical potential can be actively tuned by a gate voltage with suitable chemical doping. Graphene plasmons (GPs) possess preferable properties such as deep-subwavelength confinement, low attenuation and tunability. Therefore, graphene is recognized as a potential plasmon material in terahertz and infrared wavelength. On one hand, we propose firstly that graphene monolayer can be used to manipulate the transverse oscillation period and longitudinal transmission length of Cosine-Gauss beams (CGBs). This has theoretical significance for further study of plasmon waveguide structure and design in active optoelectronic devices. On the other hand, we theoretically report some novel graphene-based hybrid plasmonic waveguides (GHPWs). The hybrid modes of GHPWs have deep subwavelength limit and low mode loss, and the normalized field area reaches to ~10−4(λ2/4) at 3THz. Moreover, ultralow crosstalk can be realized through two adjacent GHPWs that are placed on the same substrate. This scheme potentially enables realization of the various high performance nanophotonic components based subwavelength plasmonic waveguides in terahertz domain. Furthermore, graphene-based hybrid structural can improve the sensor sensitivity to several times of that of traditional structures, and graphene was also used as a saturated absorber for middle infrared lasers.
Li Pei, Professor of Beijing Jiaotong University, her current research interests include high speed optical telecommunication network, optical fiber sensor, ROF, key technology of optical fiber communication and so on. She has been a leader of more than 10 projects in China, include National Natural Science Funds for Distinguished Young Scholar, Hi-Tech research and Development Program of China, New Century Excellent Talents Project of Ministry of Education, and so on. She has authored/co-authored more than 200 journal and conference papers, and more than 100 patents and software copyrights in her research field.
	Dr. Xiaodong Xu Professor School of Information and Communication Engineering Beijing University of Posts and Telecommunications Title: Look into the Cross-tier Handover in Ultra-dense Heterogeneous Networks Look into the Cross-tier Handover in Ultra-dense Heterogeneous Networks In this talk, he will give the theoretical analyses on cross-tier handover in ultra-dense heterogeneous networks (HetNets). Based on stochastic geometry, a linear approximation approach is proposed to study the coverage of small cells. Then, the analytical expressions for cross-tier handover rate, handover failure rate, ping-pong rate and sojourn time inside a small cell are given, which are the key performance metrics for mobility performances in the HetNet. These analytical results could provide fundamental supports for improving mobility management in ultra-dense HetNets.
Xiaodong Xu received his Ph.D. degrees in Beijing University of Posts and Telecommunications (BUPT) in 2007. He is currently a professor of BUPT. He has coauthored nine books and more than 120 journal and conference papers. He is the inventor or co-inventor of 39 granted patents. He also attends the standard work for mobile communication system with 3GPP. More than 100 proposals have been submitted and 23 proposals are adopted into 6 technical standards. His research interests cover ultra-dense heterogeneous networks, moving networks, D2D, mobile edge computing, offloading and caching. He is an associate editor of IEEE ACCESS. He is IEEE Senior Member and CIC Senior Member.
	Dr. Bob Li Distinguished University Professor National Key Laboratory of Science and Technology on Communications University of Electronic Science and Technology of China Title: Intuitive applications of network coding Intuitive applications of network coding Network coding (NC) brings a paradigm shift in data transport. The linear-algebraic theory of NC guarantees the best possible throughput. Linearity makes the hardware/software implementation feasibly fast for practical applications, including wireless communications, redundant storage, P2P content delivery, IC layout, security, optical communications, sensor networks, etc. The Butterfly Network provides an illustrative example for most of these applications. Presenting intuitive ideas in applications of NC, this talk highlights two new aspects: 1) A systematic tactic for exploring new applications of NC. 2) Computational efficiency ¾ NC theory structures the ensemble of data units as a finite field. When the field is sizable, calculation in coding/decoding involves the cyclotomic polynomial. Often the computational efficiency can be enhanced by structuring the ensemble of data units as the integer ring rather than a field. A ring offers the operations of addition, subtraction and multiplication, but not division, which is crucial in decoding however. This deficiency can be circumvented by ways of achieving the objective of division directly.
Bob Li currently serves as Distinguished University Professor at Univ. of Electronic S&T of China. He is the founder of Network coding theory, Algebraic switching theory, and Martingales of patterns. His expertise is in bridging mathematics and engineering. The recent book “Random Kingdom” in 2017 starts a new model of scientific education. Prof. Li received PhD in Math from UC Berkeley in 1974. He taught at MIT and at UI Chicago in 1974-79 and then worked at Bell Labs/Bellcore for a decade. In 1989-2014 he was a chair professor of Information Engineering at The Chinese University of Hong Kong and also served as a Professor of Math (by courtesy) as well as a founding Director of Institute of Network Coding. Now a professor emeritus of CUHK, he is also a lifetime Honorary Professor at Xidian Univ., Harbin Univ. of Engineering, UESTC, Southwest Jiaotong Univ. and Xiamen Univ. He also serves as the Great Master of Science of China's "IGAT 111 Program" Advanced Intelligence and Network Services Base. Prof. Li holds 33 US patents and is decorated with Chinese Institute of Electronics 2017 Overseas Outstanding Chinese Scientists Award, 2016 IEEE Sumner Award, IEEE Information Theory Society 2015 Paper Award, and four Outstanding Patent Awards from ITRI of Taiwan.
	Dr. Changyuan Yu Tenured Associate Professor Department of Electronic and Information Engineering, The Hong Kong Polytechnic University Adjunct Associate Professor National University of Singapore Title: Smart multi-core and few-mode optical fiber sensor systems Smart multi-core and few-mode optical fiber sensor systems Spatial-division multiplexing (SDM) technique was proposed to increase the transmission capacity of optical fiber communication system in order to cope with the exponential growth of internet traffic. Typical transmission media in SDM system are few-mode fiber (FMF) and multi-core fiber (MCF) with more than one mode and a few cores in a single fiber respectively. Apart from the communication system, FMF and MCF were also proposed as potential candidates in optical fiber sensor communities. Various sensors based on these SDM optical fibers have been demonstrated for measurement on many parameters with desirable performance. In our work, FMF and MCF were investigated for traditional mechanical parameters measurement and novel biomedical signals characterization with signal processing. As an example, seven core fibers, widely used for current SDM communication system, were proposed for torsion sensing. The fabricated torsion sensor based on seven core fibers owns excellent prosperities, including tunable sensitivities, ability for rotation direction discrimination and stable performance, which makes it a potential candidate for structural health monitoring. In addition, FMF and MCF were also investigated for biomedical application. Interferometers based on these fibers were designed as well as fabricated for activities and vital signs (including respiration and heartbeat) monitoring. In summary, SDM optical fibers are promising candidates for optical fiber sensing. MCF and FMF optical fiber sensor systems may find a wide range of applications in near future.
Dr. Changyuan YU received his Ph.D. in Electrical Engineering from the University of Southern California, USA in 2005. He was a visiting researcher at NEC Labs America in Princeton, USA in 2005. He then joined the faculty of National University of Singapore (NUS) in 12/2005, where he served as the founding leader of Photonic System Research Group in Department of Electrical and Computer Engineering. He was also a joint senior scientist with Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (A*STAR) in Singapore. In 12/2015, he joined The Hong Kong Polytechnic University as a tenured associate professor in Department of Electronic and Information Engineering. And he also continues as an adjunct associate professor of NUS. His research focuses on photonic devices, subsystems, optical fiber communication and sensor systems, and biomedical instruments. As the PI/co-PI, he secured over 5 million US dollars grants, and supervised 10+ postdocs and 20+ PhD students. He has authored/co-authored 1 US patent, 6 book chapters, 400+ journal and conference papers (75 invited, including OFC2012 in USA). His group won 6 best paper awards in conferences and the championship in biomedical area in the 3rd China Innovation and Entrepreneurship Competition in 2014.