2021-Keynote Speakers

IEEE and IET Fellow

Prof. Ce Zhu, University of Electronic Science and Technology of China, China

Speech Title: Substitute Training for Adversarial Attacks - Is Real Training Data Really Necessary? (Click for abstract)

Biography: Ce ZHU is currently with the School of Information and Communication Engineering, University of Electronic Science and Technology of China (UESTC), China, as a Changjiang Professor and the founding Director of Lab of Advanced Visual Communication & Computing. He was with the School of Electrical & Electronic Engineering, Nanyang Technological University (NTU), Singapore, for 14 years from 1998 to 2012, where he was a Research Fellow, a Program Manager, an Assistant Professor and then promoted to an Associate Professor in 2005. He also held visiting positions at Queen Mary, University of London (UK) in 2008, and Nagoya University (Japan) in 2011. Before that, he pursued postdoctoral research at the Chinese University of Hong Kong, Hong Kong, in 1995, City University of Hong Kong, Hong Kong, and the University of Melbourne, Australia, from 1996 to 1998. He received the B.S. degree from Sichuan University, Chengdu, China, in 1989, and the M.Eng and Ph.D. degrees from Southeast University, Nanjing, China, in 1992 and 1994, respectively, all in electronic and information engineering.

He is a Co-Chair of the Interest Group of Multimedia Processing for Communications (MPCIG) of Technical Committee on Multimedia Communications (MMTC), IEEE Communications Society, and a Co-Chair of Special Interest Group on Big Multimedia (http://www.computer.org/web/tcmc/sigbigmm) of Technical Committee on Multimedia Computing, IEEE Computer Society. He is an elected member of the Multimedia Signal Processing Technical Committee (MMSP-TC, 2015-2020), IEEE Signal Processing Society, and of the Multimedia Systems and Applications Technical Committee (MSA-TC, 2004-2012, 2015-2019), IEEE Circuits and Systems Society (CASS). He received 2010 Special Service Award from IEEE Broadcast Technology Society (BTS).

He is a Fellow of the IEEE (2017, "for contributions to video coding and communications"), and a Fellow of the IET (2014). He is an IEEE Distinguished Lecturer of CASS (2019-2020) and of BTS (2012- ).


IEEE and AAAS Fellow

Prof. Jie Wu, Temple University, USA

Speech Title: Cyber Security Defense: From Moving Target Defense to Cyber Deception (Click for abstract)

Biography: Jie Wu is the Director of the Center for Networked Computing and Laura H. Carnell professor at Temple University. He also serves as the Director of International Affairs at College of Science and Technology. He served as Chair of Department of Computer and Information Sciences from the summer of 2009 to the summer of 2016 and Associate Vice Provost for International Affairs from the fall of 2015 to the summer of 2017. Prior to joining Temple University, he was a program director at the National Science Foundation and was a distinguished professor at Florida Atlantic University. His current research interests include mobile computing and wireless networks, routing protocols, cloud and green computing, network trust and security, and social network applications. Dr. Wu regularly publishes in scholarly journals, conference proceedings, and books. He serves on several editorial boards, including IEEE Transactions on Mobile Computing, IEEE Transactions on Service Computing, Journal of Parallel and Distributed Computing, and Journal of Computer Science and Technology. Dr. Wu was general co-chair for IEEE MASS 2006, IEEE IPDPS 2008, IEEE ICDCS 2013, ACM MobiHoc 2014, ICPP 2016, and IEEE CNS 2016, as well as program co- chair for IEEE INFOCOM 2011 and CCF CNCC 2013.

He was an IEEE Computer Society Distinguished Visitor, ACM Distinguished Speaker, and chair for the IEEE Technical Committee on Distributed Processing (TCDP). Dr. Wu is a Fellow of the AAAS and a Fellow of the IEEE. He is the recipient of the 2011 China Computer Federation (CCF) Overseas Outstanding Achievement Award.


IEEE Fellow

Prof. Guoliang XING, the Chinese University of Hong Kong, Hong Kong

Speech Title: Tackling the Challenges of Machine Learning for Mobile Health Systems (Click for abstract)

Biography: Prof. Guoliang Xing received the B.S. and M.S degrees from Xi’an Jiao Tong University, China, in 1998 and 2001, and the D.Sc. degree from Washington University in St. Louis, in 2006. He is currently a Professor in the Department of Information Engineering, the Chinese University of Hong Kong. Previously, he was a faculty member at City University of Hong Kong and Michigan State University, U.S.

Professor Xing’s research lies at the intersection between systems, embedded AI, data/information processing algorithms, and domain sciences, with a focus on interdisciplinary applications in health, environment, and energy. His research group develops new technologies at the frontier of mobile health, Cyber-Physical Systems (CPS), Internet of Things (IoT), wireless networks, security and privacy. Several mobile health technologies developed in his lab have won several Best App Awards at the MobiCom conference and been successfully transferred to the industry. Prof. Xing led the development of several large-scale cyber physical systems, including 20+ seismic monitoring systems that were field tested and deployed on two live volcanoes in South America.

Since 2006, he has been awarded 2 Hong Kong CERG grants and 10 US NSF grants (8 as PI), including 4 large multi-institute grants from major NSF interdisciplinary programs on smart health, Cyber Physical Systems, and sustainability.

Prof. Xing is currently an Editor for ACM Transactions on Sensor Networks (TOSN), and has served as the Steering Committee member, General Chair, and TPC Co-Chair of several international conferences including IPSN – the IEEE/ACM’s premier conference on information processing in sensor systems, and RTSS – the IEEE’s premier conference on real-time systems.

He received the Withrow Distinguished Scholar Award from Michigan State University in 2014 and the Faculty Early Career Development (CAREER) Award from the US National Science Foundation in 2010. His group received two Best Paper Awards and five Best Paper Nominations from prestigious international conferences including ICNP, IPSN, and PerCom.


Prof. Yong Guan, Iowa State University, USA

Speech Title: An Algebraic Quality-Time-Advantage-Based Key Establishment Paradigm for Securing Wireless Networks (Click here for abstract)

Biography: Dr. Yong Guan is a professor of Electrical and Computer Engineering, the Associate Director for Research of Information Assurance Center at Iowa State University, and Cyber Forensics Coordinator of the NIST Center of Excellence in Forensic Sciences – CSAFE. He received his Ph.D. degree in Computer Science from Texas A&M University in 2002, MS and BS degrees in Computer Science from Peking University in 1996 and 1990, respectively. With the support of NSF, IARPA, NIST, and ARO, his research focuses on security and privacy issues, including digital forensics, network security, and privacy-enhancing technologies for the Internet. The resulted solutions have addressed issues in attack attribution, secure network coding, key management, localization, computer forensics, anonymity, and online frauds detection. He served as the general chair of 2008 IEEE Symposium on Security and Privacy (Oakland 2008, the top conference in security), co-organizer for ARO Workshop on Digital Forensics, and the co-coordinator of Digital Forensics Working Group at NSA/DHS CAE Principals Meetings. Dr. Guan has been recognized by awards including NSF Career Award, ISU Award for Early Achievement in Research, the Litton Industries Professorship, and the Outstanding Community Service Award of IEEE Technical Committee on Security and Privacy.