Keynote & Plenary Speakers

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

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 ( 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- ).

Prof. Min-Ling Zhang (长江学者), Southeast University, China

Biography: Min-Ling Zhang received the BSc, MSc, and PhD degrees in computer science from the Department of Computer Science and Technology, Nanjing University, China, in 2001, 2004 and 2007, respectively. Currently, he is a Professor at the School of Computer Science and Engineering, Southeast University, China. His main research interests include machine learning and data mining. In recent years, Dr. Zhang has served as the General Co-Chairs of ACML'18, Program Co-Chairs of ACML'17, PRICAI'16, Area Chair/Senior PC member of IJCAI'18/'17, AAAI'18/'17, ICDM'18/'17, PAKDD'16/'15, PC member of KDD'18/'17, ICML'18/'17, NIPS'17/'16, etc. He is also on the editorial board of ACM Transactions on Intelligent Systems and Technology, Neural Networks, Frontiers of Computer Science, Science China Information Sciences, etc., and one of the guest editors for the Machine Learning Journal special issue on learning from multi-label data. Dr. Zhang is the secretary-general of the CAAI (Chinese Association of Artificial Intelligence) Machine Learning Society, standing committee member of the CCF (China Computer Federation) Artificial Intelligence & Pattern Recognition Society. He is also the recipient of the CCF-IEEE CS Young Scientist Award (2016).

Prof. Wanyang Dai, Nanjing University, China

Biography: Wanyang Dai is a Distinguished Professor in Nanjing University, a Special Guest Expert in Jiangsu FinTech Research Center, President of Jiangsu Probability & Statistics Society, Chairman of Jiangsu BigData-Blockchain and Smart Information Special Committee, and Editor-in-Chief of Journal of Advances in Applied Mathematics, where his research includes stochastic processes related optimization and Pareto optimal control/game, admission/scheduling/routing protocols and performance analysis/optimization for BigData-Blockchain oriented quantum-cloud computing and wireless/wireline communication systems, forward/backward stochastic (ordinary/partial) differential equations and their applications to queueing systems, Internet of Things, energy and power engineering. His “influential" papers are published in ”big name" journals, e.g., Operations Research, Communications in Mathematical Sciences, Journal of Computational and Applied Mathematics, Queueing Systems, Mathematical and Computer Modeling of Dynamical Systems. His researches were awarded as outstanding papers by academic societies, e.g., IEEE Top Conference Series. He received his Ph.D degree from Georgia Institute of Technology, U.S.A., in 1996. He was an MTS (permanent) in End-to-End Network Architecture Department of AT&T Bell Labs (now called Nokia Bell Labs) in U.S.A. from 1996-1999, where he was principal investigators and developers of several projects in telecommunication network architecture and design, network performance and financial engineering, operating system and database development to support various intelligent engines/models for strategy planning and BigData analytics in a “Plug-in and Play" manner, with some (nowadays called cloud computing) project won ”Technology Transfer". He is also editors of over 20 international journals ranging from pure mathematics to its applications (e.g., Wireless Engineering and Technology, Artificial Intelligence), General Chairs and plenary/keynote speakers of over 30 IEEE and international conferences.

Prof. Shuangbao Wang, Columbus State University, USA

Speech Title: Optimize Quantum Circuits for Fast Cryptanalyzing Pre and Post Quantum Cryptographies (Click here for abstract)

Biography: Dr. Paul Wang is a Professor and Chair of the Department of Computer Science at Morgan State University. He was a TSYS Endowed Chair in Cybersecurity at Columbus State University and the Director of Center for Security Studies at University of Maryland, University College. Paul was previously Chief Information and Technology Officer (CIO/CTO) of the National Biomedical Research Foundation (NBRF). He has held professorships at many universities including University of Maryland, George Washington University, George Mason University, Columbus State University, Morgan State University, and two other universities. Paul was directly involved in drafting of the National Initiatives of Cybersecurity Education (NICE) framework and is currently a member of the NICE committee. His research areas are secure architecture, IoT/CPS, cryptography, quantum cryptology, and video indexing.

Paul has extensive knowledge and experiences both in theory and practice.  He has been speakers to major national cybersecurity conferences. Dr. Wang has been constantly leading the effort in conducting cutting edge research and establishing cybersecurity programs to train military personnel and veterans in the nation and around the world, a $250 million award from U.S. Department of Defense, and Director of the biggest cybersecurity education program in the nation with more than 3,000 graduate cyber students.

In addition to books, refereed publications, conference speakers and numeral grant activities including recent grants from National Security Agency, Paul has four patents; three of them have been licensed to the industry. Dr. Wang became a doctoral candidate at Tsinghua University in 1999 and completed his doctoral dissertation under the guidance of Dr. Robert Ledley, the inventor of the body CT scanner at Georgetown University and received his Ph.D. degree at George Mason University in 2004.