Dr. Bin Xie
CEO of InfoBeyond Technology LLC, USA
received his M.Sc and Ph.D. degrees in Computer Science and Computer Engineering from the University of Louisville, Kentucky, USA, 2003 and 2006 respectively. He is the founder & CEO of the
and the Company is featured as one of 50 fast growth IT small businesses in 2017 by The Silicon Review. InfoBeyond offers (i)
for data security against data breach, and (ii)
Security Policy Tool
for access control cybersecurity and the product is honored as a Successful SBIR Story by NIST.
Dr. Xie has awarded $7.5 million research funding from federal governments. He is/was the PI of 20+ R&D projects that are supported by DoD (Army, Navy, Air Force, Missile Defense), DoE, NIST, DoT, DoC, and Kentucky State. Dr. Xie has published 70+ papers in the IEEE conferences and journals. His research interests are focused on cyber security, wireless communication, big data streaming, and user performance. Dr. Xie is the author of books titled Handbook/Encyclopedia of Ad Hoc and Ubiquitous Computing (World Scientific: ISBN-10: 981283348X, World Scientific Publisher, Best-selling in 2012 & 2013), Handbook of Applications and Services for Mobile Systems (Auerbach Publication, Taylor and Francis Group, ISBN: 9781439801529, 2012) and Heterogeneous Wireless Networks- Networking Protocol to Security, (VDM Publishing House: ISBN: 3836419270, 2007.
Dr. Xie severed as a member of NIH Special Emphasis Panel on System Science and Health in the Behavioral and Social Sciences, ZRG1 HDM-Q (50), 2012-2017. He is an editor member of the Journal of International Journal of Information Technology, Communications, and Convergence (IJITCC). He was the Guest Edit Chair of Elsevier Future Generation Computer Systems (FGCS) in a special issue on Mobile Computing, 2012. He delivered a number of speeches in the Army, Navy, Air Force, academic, and industrial societies. Dr. Xie is an IEEE senior member.
The Silicon Review
Security Policy Tool News
Topic: Enabling Low-Latency High-reliability Wireless for Industry Communication Systems
Abstract: Industrial Control Systems (ICSs, e.g., automation, motion control, discrete manufacturing, robotics, refineries) usually needs to continuously monitor the status of the facilities in the plant and perform timely response accordingly. Low latency and high-reliability wired communication networks for ICSs have been successfully deployed for many years using SERCOSIII and other fieldbus standards. Recently, there are increasing interests in moving wireless technologies into manufacturing applications to replace the current wired communication networks to lower the installation and maintenance costs. However, as identified by NIST, the transmission error and delay caused by unreliable wireless connections have been the main concern that prevents the wide usage of wireless networks in manufacturing applications. In this talk, we will discuss the wireless technology to simultaneously address the stringent requirements on latency (close-loop sense-to-actuation time < 1ms) and reliability (transaction error < 10^-9), which are not achieved in the current 5G and other wireless technologies for ICS applications.
Dr. Shui Yu
University of Technology Sydney, Australia
Shui Yu is currently a full Professor of School of Software, University of Technology Sydney, Australia. Dr Yu’s research interest includes Security and Privacy, Networking, Big Data, and Mathematical Modelling. He has published two monographs and edited two books, more than 200 technical papers, including top journals and top conferences, such as IEEE TPDS, TC, TIFS, TMC, TKDE, TETC, ToN, and INFOCOM. Dr. Yu initiated the research field of networking for big data in 2013. His h-index is 32.
Dr. Yu actively serves his research communities in various roles. He is currently serving the editorial boards of IEEE Communications Surveys and Tutorials, IEEE Communications Magazine, IEEE Internet of Things Journal, IEEE Communications Letters, IEEE Access, and IEEE Transactions on Computational Social Systems. He has served more than 70 international conferences as a member of organizing committee, such as publication chair for IEEE Globecom 2015, IEEE INFOCOM 2016 and 2017, TPC chair for IEEE BigDataService 2015, and general chair for ACSW 2017. He is a Senior Member of IEEE, a member of AAAS and ACM, the Vice Chair of Technical Committee on Big Data of IEEE Communication Society, and a Distinguished Lecturer of IEEE Communication Society.
Topic: Big Data Privacy: A Machine Learning Perspective
Abstract: Big data is a revolution for our society. However, it also introduces a significant threat to data privacy. In this talk, we firstly review the current work in privacy protection under the framework of big data. Then we discuss the challenges in the domain from different angles, especially the machine learning aspects in field. We humbly hope this talk will shed light for forthcoming researchers to further explore the uncharted part of this promising land.
Dr. Chih-Lin I
Chief Scientist, Wireless Technologies, China Mobile Research Institute
received her Ph.D. degree in electrical engineering from Stanford University. She has been working at multiple world-class companies and research institutes leading the R&D, including AT&T Bell Labs; Director of AT&T HQ, Director of ITRI Taiwan, and VPGD of ASTRI Hong Kong. She received the IEEE Trans. COM Stephen Rice Best Paper Award, is a winner of the CCCP National 1000 Talent Program, and has won the 2015 Industrial Innovation Award of IEEE Communication Society for Leadership and Innovation in Next-Generation Cellular Wireless Networks.
In 2011, she joined China Mobile as its Chief Scientist of wireless technologies, established the Green Communications Research Center, and launched the 5G Key Technologies R&D. She is spearheading major initiatives including 5G, C-RAN, high energy efficiency system architectures, technologies and devices; and green energy. She was an Area Editor of IEEE/ACM Trans. NET, an elected Board Member of IEEE ComSoc, Chair of the ComSoc Meetings and Conferences Board, and Founding Chair of the IEEE WCNC Steering Committee.
She was a Professor at NCTU, an Adjunct Professor at NTU, and currently an Adjunct Professor at BUPT. She is the Chair of FuTURE 5G SIG, an Executive Board Member of GreenTouch, a Network Operator Council Founding Member of ETSI NFV, a Steering Board Member of WWRF, a member of IEEE ComSoc SDB, SPC, and CSCN-SC, and a Scientific Advisory Board Member of Singapore NRF. Her current research interests center around “Green, Soft, and Open”.
Topic: Bringing AI to the RAN
Prof. Chengnian Long
Shanghai JiaoTong University
is a full professor of Department of Automation, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University. His research interest mainly focuses on the Cyber-Physical Systems (CPS), including: 1) Cyber-Physical Systems (CPS) Security: security estimation and control of CPS, intrusion detection system, blockchain security; 2) Internet of Things (IoT): crowd sensing, fog computing, internet of vehicle, wireless MIMO system and 3) Distributed Intelligence Systems: embedded computer vision for smart devices (UAV, Autonomous vehicles), blockchain.
First, many current critical infrastructures such as power grids, transportation systems, and medicine systems are emerging with the tight integration of physical processes and cyber world. Due to the crucial role of cyber-physical systems in everyday life, cyber-physical security needs to be promptly addressed. Particularly, his research group is focus on the security estimation and control of power grids and industrial control systems. Second, he has a long-term concern on the fundamental networking problem in Internet of Things, such as crowd sensing system, fog computing of intelligence gateway, MIMO wireless technology for smart devices. Particularly, his research group is focus on the sensing, computing, communication, and control integration of Internet of Vehicles (IoV). Third, the long-term view is to develop system intelligence for both CPS and IoT. An emerging trend is data-driven distributed intelligence system. Thus, the large-scale trust and reliable data is the power source for intelligence system. Furthermore, to apply the AI technology (deep learning and computer vision) from the laboratory to the real world that require a new approach to supporting the associated power, weight, space, and real-time constraints. Particularly, his research group is focus on investigating the blockchain technology to construct distributed intelligence system and developing the embedded computer vision and deep learning technology for UAV and autonomous vehicles.
Dr. Yang Yang
received the BEng and MEng degrees in Radio Engineering from Southeast University, Nanjing, China, in 1996 and 1999, respectively; and the PhD degree in Information Engineering from the Chinese University of Hong Kong in 2002.
Yang is a full professor at ShanghaiTech University, China, and is currently the Executive Dean of School of Creativity and Art and the Co-Director of Shanghai Institute of Fog Computing Technology (SHIFT). Prior to that, he has been serving the University and Chinese Academy of Sciences (CAS) as Vice Dean of School of Information Science and Technology (2012-13), Director of Shanghai Research Center for Wireless Communications (2012-18), Director of Office of Academic and Student Affairs (2013-16), and Director of CAS Key Lab of Wireless Sensor Network and Communication (2016-18). Before joining ShanghaiTech University, Yang has held faculty positions at the Chinese University of Hong Kong, Brunel University (UK), University College London (UCL, UK), and SIMIT, CAS (China).
Yang’s current research interests include fog computing networks, service-oriented collaborative intelligence, wireless sensor networks, IoT applications, and advanced testbeds and experiments. He has published more than 200 papers and filed more than 80 technical patents in these research areas. Yang is a Board Member of the OpenFog Consortium and the Director of Greater China Region since January 2017. He is the Chair of the Steering Committee of Asia-Pacific Conference on Communications (APCC) since January 2019. In addition, he is a General Co-Chair of the IEEE DSP 2018 conference and a TPC Vice-Chair of the IEEE ICC 2019 conference. Yang is a Fellow of the IEEE.
City University of Hong Kong
Dr. Lin Dai
was born in Wuhan, China. At the age of 15, she excelled in the national college examination and was admitted into the "Special Class for Gifted Teenagers" at Huazhong University of Science and Technology. She received her BS degree in 1998, and the MS and PhD degrees from Tsinghua University, Beijing, China, in 2003, all in Electronic Engineering.
She was a postdoctoral fellow at The Hong Kong University of Science and Technology and University of Delaware. Since 2007, she has been with City University of Hong Kong, where she is currently an associate professor. She has broad interests in communications and networking theory, with special interests in wireless communications. Her recent research work focuses on modeling, performance analysis and optimal access design of next-generation mobile communication systems.
She was a co-recipient of the Best Paper Award at IEEE Wireless Communications and Networking Conference (WCNC) 2007, and the IEEE Guglielmo Marconi Prize Paper Award (the annual Best Paper Award of IEEE Transactions on Wireless Communications) in 2009. She served as a co-chair of PHY Track of IEEE WCNC 2013, the leading co-chair of Wireless Communications Symposium of IEEE International Conference on Communications (ICC) 2015, and TPC vice chair of ICC 2019. She received The President's Award of City University of Hong Kong in 2017. She has been serving as an editor for IEEE Transactions on Wireless Communications since 2014. She was an Assistant Dean of College of Science and Engineering of City University of Hong Kong from 2014 to 2018. She is now an Associate Dean of College of Engineering of City University of Hong Kong.