Keynotes Speaker 1
**Wei Zhao, IEEE Fellow**
**University of Macau**
WInternet: From Net of Things to Internet of Things
Internet of Things (IoT) is a networking infrastructure for cyber-physical systems. With IoT, physical objects should be seamlessly integrated into an Internet-like system so that the physical objects and cyber-agents can interact each other in order to achieve mission-critical objectives. Given its tremendous application potential, IoT has become popular in recent years, attracting great attentions from both academic research and industrial development. In this talk, we will first focus on fundamental issues related to IoT. We address principles that should guide research and development of IoT. We will then present several approaches that may lead to implementation of IoT and analyze their advantages and disadvantages. We will show an implementation of IoT called “WInternet” and demonstrate its application. Finally, we will discuss critical issues that must be addressed in order to fully realize the objectives and potentials of IoT.
An internationally renowned scholar, Professor Wei Zhao has been serving as the eighth Rector (i.e., President) of the University of Macau since 2008. Before joining the University of Macau, Professor Zhao served as the Dean of the School of Science at Rensselaer Polytechnic Institute in the U.S., Director for the Division of Computer and Network Systems in the U.S. National Science Foundation, and Senior Associate Vice President for Research at Texas A&M University. Professor Zhao completed his undergraduate studies in physics at Shaanxi Normal University, Xi'an, China, in 1977, and received his MSc and PhD degrees in Computer and Information Sciences at the University of Massachusetts at Amherst in 1983 and 1986, respectively. During his academic career, he has also served as a faculty member at Shaanxi Normal University, Amherst College, the University of Adelaide, Texas A&M University, and Rensselaer Polytechnic Institute.
Professor Zhao has made significant contributions in the field of cyber-physical systems. His research group has received numerous awards for outstanding work in CPS, including the outstanding paper award from the IEEE International Conference on Distributed Computing Systems, the best paper award from the IEEE National Aerospace and Electronics Conference, an award on technology transfer from the Defense Advanced Research Program Agency, and the best paper award from the IEEE International Communication Conference. As the CNS Division Director of NSF between 2005 and 2007, he led the community and initiated very first funding program in CPS. In 2011, he was named by the Ministry of Science and Technology of China as the Chief Scientist of the national 973 Internet of Things Project.
In recognition of his outstanding achievements in science and higher education, Professor Zhao was awarded the Lifelong Achievement Award by the Chinese Association of Science and Technology in 2005. In 2007, he was honored with the Overseas Achievement Award by the Chinese Computer Federation. Professor Zhao has been conferred honorable doctorates by twelve universities in the world and academician by the International Eurasian Academy of Sciences.
Keynotes Speaker 2
**Weisong Shi, IEEE Fellow**
**Wayne State University**
Edge Computing: Vision and Challenges
The proliferation of Internet of Everything and the success of rich cloud services have pushed the horizon of a new computing paradigm, Edge computing, which calls for processing the data at the edge of the network. Edge computing has the potential to address the concerns of response time requirement, battery life constraint, bandwidth cost saving, as well as data safety and privacy. In this talk, he will discuss the vision and challenges of Edge Computing, followed by their recent work on Firework, a data sharing and processing framework for Cloud-Edge analytics.
Weisong Shi is a Charles H. Gershenson Distinguished Faculty Fellow and a Professor of Computer Science at Wayne State University, there he directs the Mobile and Internet SysTems Laboratory (MIST) and Center for Edge Data Analytics Research (CEDAR), investigating performance, reliability, power- and energy-efficiency, trust and privacy issues of networked computer systems and applications. Dr. Shi was on leave with the National Science Foundation as a Program Director in the Division of Computer and Network Systems, Directorate of Computer and Information Science and Engineering during 2013 – 2015, where he was responsible for the Computer and Network Systems (CNS) Core CSR Program, and two key crosscutting programs, including Cyber-Innovation for Sustainability Science and Engineering (CyberSEES), Smart and Connected Health (SCH). He is the founding steering committee chair of IEEE/ACM Symposium on Edge Computing (SEC). He is an IEEE Fellow and an ACM Distinguished Scientist. More information can be found at http://www.cs.wayne.edu/~weisong.
Keynotes Speaker 3
**Liuqing Yang, IEEE Fellow**
**Colorado State University**
On Energy-Harvesting Relay Networks: Full-Duplex and Relay Selection
Energy harvesting (EH) is regarded as a promising technology to significantly extend the lifetime of battery-powered devices. Simultaneous wireless information and power transfer (SWIPT) is proposed to harvest part of the energy carried by the wireless communication signals and store it for future use. Currently, SWIPT has been successfully applied to energy-constrained relays that are mainly or exclusively powered by the energy harvested from the received signals. These relays are known as EH relays, which attract significant attention in both the academia and the industry. In this talk, we will first introduce the characteristics and performance of half-duplex and full-duplex EH relay networks. Then, we will discuss the power-splitting (PS) factor optimization in PS-based EH relay networks and present the impact of the residual self-interference at full-duplex EH relays. Furthermore, we will focus on the relay selection (RS) problem in EH relay networks. Both single relay selection (SRS) and general relay selection (GRS) without the limit on the number of cooperating relays are investigated and the corresponding RS methods are proposed. We will show that our proposed heuristic GRS methods outperform the SRS methods and achieve very similar performance compared with the optimal RS method achieved by exhaustive search but with dramatically reduced complexity.
Dr. Liuqing Yang received her Ph.D. degree in Electrical and Computer Engineering from the University of Minnesota, Minneapolis, in 2004. She is presently a Professor with Colorado State University. Her general interests are in signal processing with applications to communications, networking and power systems – subjects on which she has published more than 270 journal and conference papers, 3 book chapters and 3 books. Dr. Yang became in IEEE Fellow in 2014. She was the recipient of the ONR Young Investigator Program (YIP) award in 2007, and the NSF Faculty Early Career Development (CAREER) award in 2009 the Best Dissertation Award in the Physical Sciences & Engineering from the University of Minnesota in 2004, the Best Paper Award at the IEEE ICUWB’06, ICCC’13, ITSC’14, Globecom’14, ICC’16, and WCSP’16. She has served as an associate editor for IEEE Transactions on Communications, IEEE Transactions on Wireless Communications, IEEE Transactions on Intelligent Transportation Systems, IEEE Intelligent Systems, and PHYCOM: Physical Communication, and as program chair, track/symposium or TPC chair for many conferences.
Keynotes Speaker 4
**Jenq-Neng Hwang, IEEE Fellow**
**University of WA**
Next Generation Mobile Video Networking
With the huge amount of networked mobile video cameras installed everywhere nowadays, there is an urgent need of effective networking to disseminate and/or collect these big visual data, so as to provide best streaming services in the client side and/or perform intelligent data analytics in the cloud server side. In this talk, I will first address some trends of next generation mobile video networking from 4G to 5G, then taking advantage of optimizing the quality of experience (QoE) and quality of content (QoC) criteria, I will present several cross-layer mobile video networking techniques over 4G/5G wireless infrastructures, such as QoE-based adaptive multicasting, MIMO resource allocation and LTE-WLAN aggregation (LWA) schemes for video downlinking, networking for 360o VR videos, as well as QoC-based resource allocation schemes for video uplinking.
Dr. Jenq-Neng Hwang received the BS and MS degrees, both in electrical engineering from the National Taiwan University, Taipei, Taiwan, in 1981 and 1983 separately. He then received his Ph.D. degree from the University of Southern California. In the summer of 1989, Dr. Hwang joined the Department of Electrical Engineering of the University of Washington in Seattle, where he has been promoted to Full Professor since 1999. He served as the Associate Chair for Research from 2003 to 2005, and from 2011-2015. He is currently the Associate Chair for Global Affairs and International Development in the EE Department. He has written more than 300 journal, conference papers and book chapters in the areas of multimedia signal processing, and multimedia system integration and networking, including an authored textbook on "Multimedia Networking: from Theory to Practice," published by Cambridge University Press. Dr. Hwang has close working relationship with the industry on multimedia signal processing and multimedia networking.
Dr. Hwang received the 1995 IEEE Signal Processing Society's Best Journal Paper Award. He is a founding member of Multimedia Signal Processing Technical Committee of IEEE Signal Processing Society and was the Society's representative to IEEE Neural Network Council from 1996 to 2000. He is currently a member of Multimedia Technical Committee (MMTC) of IEEE Communication Society and also a member of Multimedia Signal Processing Technical Committee (MMSP TC) of IEEE Signal Processing Society. He served as associate editors for IEEE T-SP, T-NN and T-CSVT, T-IP and Signal Processing Magazine (SPM). He is currently on the editorial board of ZTE Communications, ETRI, IJDMB and JSPS journals. He served as the Program Co-Chair of IEEE ICME 2016 and was the Program Co-Chairs of ICASSP 1998 and ISCAS 2009. Dr. Hwang is a fellow of IEEE since 2001.