2025-Keynote Speakers

(Fellow, IEEE & AAIA)

Prof. Bin Xiao, The Hong Kong Polytechnic University, Hong Kong, China

Talk Title: Digital Asset Protection in Blockchain Systems

Biography: Dr. Bin Xiao is a professor at Department of Computing, the Hong Kong Polytechnic University, Hong Kong. Prof. Xiao received the B.Sc and M.Sc degrees in Electronics Engineering from Fudan University, China, and Ph.D. degree in computer science from University of Texas at Dallas, USA. His research interests include AI security, data privacy, Web3, and blockchain systems.He has published over 200 technical papers. He has a Google H-index of 49 with over 9000 citations. He is the associate editor of IEEE TCC, and IEEE TNSE. He has been the associate editor of IEEE IoTJ from 2020 to 2023, and Elsevier JPDC from 2016 to 2021. He is the IEEE Fellow, AAIA Fellow, IEEE ComSoc Distinguished Lecturer, and the chair of the IEEE ComSoc CISTC committee. He has been the track co-chair of IEEE ICDCS 2022, the symposium track co-chair of IEEE Globecom 2024, ICC 2020, ICC 2018, and Globecom 2017, and the general chair of IEEE SECON 2018.

 

Prof. Shuangbao Wang, Morgan State University, USA

Paul Wang is a LINK Fellow, Fellow of National Quantum Lab, and has held positions as the TSYS Endowed Chair in Cybersecurity by a $5 million endorsement, Director of Center for Security Studies with more than 3,000 cyber students, and CIO of the National Biomedical Research Foundation. He has been a consultant to many companies and serving on multiple boards and technology committees. Paul was directly involved in drafting of the NICE framework. His research areas are quantum crypto, secure architecture, AI/ML, IoT/CPS, and video indexing.

In addition to books, refereed publications, conference speakers and numeral grants including recent multi-million grants from NSF, NSA, Bezos Fund, Apple, and Microsoft, Paul has four patents; three of them have been licensed to the industry. Paul Wang received his Ph.D. under Dr. Robert Ledley, the inventor of body CT scanner. He completed postdoc studies in Quantum Computing at MIT following a renowned scholar Peter Shor and in AI and Data Science at University of Cambridge.