Listed in alphabetical order
Plenary Speaker 1
**Nirwan Ansari, IEEE Fellow**
**New Jersey Institute of Technology**
EdgetIoT: Mobile Edge Computing for the Internet of Things
In order to overcome the scalability problem of the traditional Internet of Things (IoT) architecture (i.e., data streams generated from distributed IoT devices are transmitted to the remote cloud via the Internet for further analysis), mobile edge computing has been proposed to provision IoT by handling the data streams at the mobile edge. Specifically, each base station is connected to a fog node, which provides computing resources locally. On the top of the fog nodes, the software defined networking (SDN) based cellular core is designed to facilitate packet forwarding among fog nodes. Meanwhile, we propose a hierarchical fog computing architecture in each fog node to provide flexible IoT services: each user’s IoT devices are associated with a proxy VM (located in a fog node), which collects, classifies, and analyzes the devices’ raw data streams, converts them into metadata, and transmits the metadata to the corresponding application VMs (which are owned by IoT service providers). Each application VM receives the corresponding metadata from different proxy VMs and provides its service to users. In addition, a novel proxy VM migration scheme is proposed to minimize the traffic in the SDN-based core.
Nirwan Ansari is Distinguished Professor of Electrical and Computer Engineering at the New Jersey Institute of Technology (NJIT). He has also been a visiting (chair) professor at several universities such as High-level Visiting Scientist at Beijing University of Posts and Telecommunications.
Professor Ansari has authored Green Mobile Networks: A Networking Perspective (IEEE-Wiley, 2017) with T. Han, and co-authored two other books. He has also (co-)authored more than 500 technical publications, over 200 published in widely cited journals/magazines. He has guest-edited a number of special issues covering various emerging topics in communications and networking. He has served on the editorial/advisory board of over ten journals. His current research focuses on green communications and networking, cloud computing, and various aspects of broadband networks. Professor Ansari was elected to serve in the IEEE Communications Society (ComSoc) Board of Governors as a member-at-large, has chaired ComSoc technical committees, and has been actively organizing numerous IEEE International Conferences/Symposia/Workshops. He has frequently been delivering keynote addresses, distinguished lectures, tutorials, and invited talks. Some of his recognitions include IEEE Fellow, several Excellence in Teaching Awards, a few best paper awards, the NCE Excellence in Research Award, the ComSoc AHSN TC Technical Recognition Award, the IEEE TCGCC Distinguished Technical Achievement Recognition Award, the NJ Inventors Hall of Fame Inventor of the Year Award, the Thomas Alva Edison Patent Award, Purdue University Outstanding Electrical and Computer Engineer Award, and designation as a COMSOC Distinguished Lecturer. He has also been granted over 30 U.S. patents.
He received a Ph.D. from Purdue University in 1988, an MSEE from the University of Michigan in 1983, and a BSEE (summa cum laude with a perfect GPA) from NJIT in 1982.
Plenary Speaker 2
**University of California Davis**
Key Generation for Securing Wireless Networks
In this talk, we will discuss how to generate information theoretically secure keys using wireless fading channels for securing future generation wireless networks. We will first introduce basic ideas of information theoretic models for generating secret keys via public discussion, and discuss recent research on applying these ideas to wireless networks. In these applications, wireless channels between transceivers are exploited as random sources for key generation, and the keys generated in such a way can be shown to be provably secure with information theoretic guarantees. We then describe a few new directions that generalize and improve the basic scenarios for key generation. These new directions include a joint source-channel approach for key generation, simultaneously multiple key generation over networks, and key generation under active attacks. Connections with other fields such as graph theory will also be discussed.
Lifeng Lai received the B.E. and M. E. degrees in Information Science and Electrical Engineering from Zhejiang University, Hangzhou, China in 2001 and 2004 respectively, and the PhD degree in Electrical and Computer Engineering from the The Ohio State University at Columbus, OH, in 2007. He was a postdoctoral research associate at Princeton University from 2007 to 2009. He is now an Associate Professor at the Department of Electrical and Computer Engineering at University of California, Davis. His current research interest includes information theory, stochastic signal processing, machine learning and their applications.
Dr. Lai was a Distinguished University Fellow at the Ohio State University from 2004 to 2007. He received the Best Paper Award from IEEE Global Communications Conference (Globecom) in 2008, the Best Paper Award from IEEE International Conference on Communications (ICC) in 2011, the Faculty Early Career Development (CAREER) Award from the National Science Foundation in 2011, Northrop Young Researcher Award in 2012, and the Best Paper Award from IEEE International Conference on Smart Grid Communications (SmartGridComm) in 2012.
He served as a guest editor for IEEE Journal on Selected Areas in Communications, Special Issue on Signal Processing Techniques for Wireless Physical Layer Security. He is currently serving as an editor for IEEE Transactions on Wireless Communications, and an associate editor for IEEE Transactions on Information Forensics and Security.
Plenary Speaker 3
Opportunities and Challenges in Global Network Cameras
Millions of network cameras have been deployed. Many of these cameras provide publicly available data, continuously streaming live views of national parks, city halls, streets, highways, and shopping malls. A person may see multiple tourist attractions through these cameras, without leaving home. Researchers may observe the weather in different cities. Using the data, it is possible to observe disasters at a safe distance. News reporters may obtain instant views of an unfolding event. A spectator may watch a celebration parade from multiple locations. Despite the many promising applications, the opportunities of using global network cameras have not been fully exploited. The opportunities also bring forth many challenges. Managing the large amount of data would require fundamentally new thinking. The data from network cameras are unstructured and have few metadata describing the content. Searching the relevant content would be a challenge. Because network cameras continuously produce data, processing must be able to handle the streaming data. This imposes stringent requirements of the performance. This presentation will share the experience building a system that aims to explore the opportunities using the data from global network cameras, as well as recruiting users and collaborators.
Yung-Hsiang Lu is an associate professor (promotion to full professor effective in August 2017) in the School of Electrical and Computer Engineering and (by courtesy) the Department of Computer Science of Purdue University. He is an ACM distinguished scientist and ACM distinguished speaker. He is a member in the organizing committee of the IEEE Rebooting Computing Initiative. He is the lead organizer of Low-Power Image Recognition Challenge, the chair of the Multimedia Communication Systems Interest Group in IEEE Multimedia Communications Technical Committee.
Dr. Lu and three Purdue students founded a technology company using video analytics to improve the operation of brick and mortar retail stores. The company's cameras stream video to cloud for analysis and the analysis results help store owners serve customers better. This company receives a Small Business Innovation Research (SBIR-1) grant from the National Science Foundation in 2016.
Dr. Lu obtained the Ph.D. from the Department of Electrical Engineering at Stanford University and BSEE from National Taiwan University.
Plenary Speaker 4
**University of Nebraska-Lincoln**
Advances and Challenges in 5G Mobile Wireless Security
Wireless communication technologies are ubiquitous nowadays. Most of the smart devices have Cellular, Wi-Fi, Bluetooth connections. These technologies have been developed for many years, nonetheless they are still being enhanced. More development can be expected in the next 5 years, such as faster transmission data rate, more efficient spectrum usage, lower power consumption, etc. Similarly, cellular networks have been evolved for several generations. For example, GSM as part of 2G family, UMTS as part of the 3G family, and LTE as part of 4G family. In the next few years, 5G cellular network systems will continue the evolution to keep up with the fast-growing needs of customers. Secure wireless communications will certainly be part of other advances in the industry such as multimedia streaming, data storage and sharing in clouds, mobile cloud computing services, etc. This talk covers the topics on security for next generation mobile wireless networks, with focusing on 5G mobile wireless network systems, followed by a discussion on the challenges and open research issues in the area.
Yi Qian received a Ph.D. degree in electrical engineering from Clemson University. He is a professor in the Department of Electrical and Computer Engineering, University of Nebraska-Lincoln (UNL). Prior to joining UNL, he worked in the telecommunications industry, academia, and the government. Some of his previous professional positions include serving as a senior member of scientific staff and a technical advisor at Nortel Networks, a senior systems engineer and a technical advisor at several start-up companies, an assistant professor at University of Puerto Rico at Mayaguez, and a senior researcher at National Institute of Standards and Technology. His research interests include information assurance and network security, network design, network modeling, simulation and performance analysis for next generation wireless networks, wireless ad-hoc and sensor networks, vehicular networks, smart grid communication networks, broadband satellite networks, optical networks, high-speed networks and the Internet. Prof. Yi Qian is a member of ACM and a senior member of IEEE. He was the Chair of IEEE Communications Society Technical Committee for Communications and Information Security from January 1, 2014 to December 31, 2015. He is a Distinguished Lecturer for IEEE Vehicular Technology Society. He is serving on the editorial boards for several international journals and magazines, including serving as the Associate Editor-in-Chief for IEEE Wireless Communications Magazine. He is the Technical Program Chair for IEEE International Conference on Communications (ICC) 2018.