Keynote Speaker

Prof. Hamid Jafarkhani, IEEE Fellow, AAAS Fellow
University of California Irvine, USA

Hamid Jafarkhani is a Chancellor's Professor at the Department of Electrical Engineering and Computer Science, University of California, Irvine, where he is also the Director of Center for Pervasive Communications and Computing, the Director of Networked Systems Program, and the Conexant-Broadcom Endowed Chair. He is the 2020-2022 elected Faculty Chair of the UCI School of Engineering. He was a Visiting Scholar at Harvard University in 2015 and a Visiting Professor at California Institute of Technology in 2018. Among his awards are the NSF Career Award, the UCI Distinguished Mid-Career Faculty Award for Research, the School of Engineering Excellence in Research Senior Career Award, the IEEE Marconi Prize Paper Award in Wireless Communications, the IEEE Communications Society Award for Advances in Communication, the IEEE Wireless Communications Technical Committee Recognition Award, and the IEEE Eric E. Sumner Award. Dr. Jafarkhani is listed as an ISI highly cited researcher. According to the Thomson Scientific, he is one of the top 10 most-cited researchers in the field of "computer science" during 1997-2007. He is the 2017 Innovation Hall of Fame Inductee at the University of Maryland's School of Engineering. He is a Fellow of AAAS, an IEEE Fellow, a Distinguished Fellow of IETI, and the author of the book "Space-Time Coding: Theory and Practice."



Prof. Zhisheng Niu, Tsinghua University, China
IEEE Fellow, IECIE Fellow

Biography: Zhisheng Niu graduated from Beijing Jiaotong University, China, in 1985, and got his M.E. and D.E. degrees from Toyohashi University of Technology, Japan, in 1989 and 1992, respectively.  During 1992-1994, he worked for Fujitsu Laboratories Ltd., Japan, and in 1994 joined with Tsinghua University, Beijing, China, where he is now a professor at the Department of Electronic Engineering. During 1997-1998, he visited Hitachi Central Research Laboratory as a HIVIPS senior researcher.  His major research interests include queueing theory and traffic engineering, wireless communications and mobile Internet, vehicular communications and smart networking, and green communication and networks.  
Dr. Niu has been serving IEEE Communications Society since 2000, first as Chair of Beijing Chapter (2000-2008) and then as Director of Asia-Pacific Board (2008-2009), Director for Conference Publications (2010-2011), Chair of Emerging Technologies Committee (2014-2015), and Director for Online Contents (2018-2019).  He has also served as editor of IEEE Wireless Communication (2009-2013) and associate Editor-in-Chief of IEEE/CIC joint publication China Communications (2012-2016), and currently serving as Editor-in-Chief of IEEE Trans. Green Commun. & Networks (2020-2022).  He received the Outstanding Young Researcher Award from Natural Science Foundation of China in 2009, Best Paper Awards from IEEE Communication Society Asia-Pacific Board in 2013 and from Journal of Communications and Information Networks (JCIN) in 2019, Distinguished Technical Achievement Recognition Award from IEEE Communications Society Green Communications and Computing Technical Committee in 2018, and Harold Sobol Award for Exemplary Service to Meetings & Conferences from IEEE Communication Society in 2019.  He was selected as a distinguished lecturer of IEEE Communication Society (2012-2015) as well as IEEE Vehicular Technologies Society (2014-2018).  He is a fellow of both IEEE and IEICE.

Speech Title: URLLC: Some Perspectives from Queueing Theory

Ultra-reliable and low-latency communication (URLLC) is a new service category in 5G and beyond to accommodate emerging services and applications, such as autonomous driving, tactile Internet, virtual reality, etc, which have stringent latency and reliability requirements. But, fundamentally, provisioning of reliability and latency is contradicting each other, i.e., normally improving reliability may cause longer delay and shortening delay may harm reliability.  How to improve both of them is a big challenge, in particular when the user characteristics and available network resources are stochastic and limited. In this regard, as the theory of dealing with stochastic natures of user behavior and resource availability, queueing theory may provide some hints.  In this talk, some perspectives on achieving URLLC inspired by queueing theory will be discussed.


Prof. Haizhou Li, IEEE Fellow, ISCA Fellow
The Chinese University of Hong Kong, Shenzhen, China
Adjunct Professor at the National University of Singapore (NUS)

Haizhou Li is currently a Professor at The Chinese University of Hong Kong, Shenzhen, China, and an adjunct Professor at the National University of Singapore (NUS). Prior to that, he was the Principal Scientist and Department Head of Human Language Technology in the Institute for Infocomm Research, Singapore (2003-2016). Prof. Li’s research interests include speech information processing, natural language processing, and human-machine interface. Prof. Li has served as the Editor-in-Chief of IEEE/ACM Transactions on Audio, Speech and Language Processing (2015-2018), a Member of the Editorial Board of Computer Speech and Language (2012-2018), and a Member of IEEE Speech and Language Processing Technical Committee (2013-2015). He was the President of the International Speech Communication Association (ISCA, 2015-2017), the President of Asia Pacific Signal and Information Processing Association (2015-2016), and the President of Asian Federation of Natural Language Processing (2017-2018). He was the General Chair of ACL 2012, INTERSPEECH 2014, IEEE ASRU 2019, and ICASSP 2022. Prof. Li is a Fellow of the IEEE, a Fellow of ISCA, and a Fellow of Academy of Engineering Singapore. He was a recipient of the President’s Technology Award 2013 in Singapore. He was named one of the two Nokia Visiting Professors in 2009 by the Nokia Foundation, and U Bremen Excellence Chair Professor in 2019 by Bremen University, Germany.




Prof. Zhu Han University of Houston, USA
AAAS Fellow, IEEE Fellow

Zhu Han received the B.S. degree in electronic engineering from Tsinghua University, in 1997, and the M.S. and Ph.D. degrees in electrical engineering from the University of Maryland, College Park, in 1999 and 2003, respectively. From 2000 to 2002, he was an R&D Engineer of JDSU, Germantown, Maryland. From 2003 to 2006, he was a Research Associate at the University of Maryland. From 2006 to 2008, he was an assistant professor in Boise State University, Idaho. Currently, he is a John and Rebecca Moores Professor in Electrical and Computer Engineering Department as well as Computer Science Department at University of Houston, Texas. His research interests include security, wireless resource allocation and management, wireless communication and networking, game theory, and wireless multimedia. Dr. Han is an NSF CAREER award recipient of 2010. Dr. Han has several IEEE conference best paper awards, and winner of 2011 IEEE Fred W. Ellersick Prize, 2015 EURASIP Best Paper Award for the Journal on Advances in Signal Processing and 2016 IEEE Leonard G. Abraham Prize in the field of Communication Systems (Best Paper Award for IEEE Journal on Selected Areas on Communications). Dr. Han is the winner 2021 IEEE Kiyo Tomiyasu Award. He has been an IEEE fellow since 2014, AAAS fellow since 2020, IEEE Distinguished Lecturer from 2015 to 2018 and ACM Distinguished Speaker from 2022-2025. Dr. Han is a 1% highly cited researcher according to Web of Science since 2017.

Speech Title: Cryptoeconomics: Economic Mechanisms behind Blockchains

Abstract: Due to its salient features including decentralization, anonymity, security, trust, and auditability, blockchain has attracted tremendous attention from both academia and industry. The advent of blockchain networks and their applications in various domains, including computer networks, data sciences, and Fin-Tech, create a new field of study for academia and industry: cryptoeconomics. It can extend the analytical framework based on the economic networking perspective to modeling, designing, and analyzing the participant interactions in any ecosystem raised from or built upon blockchain networks. Therefore, this tutorial first analyzes the participants' behaviors from the economic perspective and presents how the rational/irrational behaviors affect the performance and security of a distributed system. Then, from the engineering perspective, this tutorial shows a series of economic mechanisms and case studies, illustrating that a well-functioning, scalable cryptoeconomics network is able to serve as an efficient platform for decision arbitration and allocation of the resources ranging from physical utilities (e.g., hardware) to financial assets. As a result, cryptoeconomics can shed light on the better characterization of the blockchain-assisted systems.