Prof. Zhu Han
ACM Distinguished Lecture
IEEE/AAAS Fellow
(ACM会士/杰出讲师; IEEE 会士;
美国科学促进会会士)
University of Houston, USA
美国休斯顿大学
Biography:
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 and computer 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 at Boise State University, Idaho. Currently, he is a John and
Rebecca Moores Professor in the Electrical and Computer Engineering
Department as well as the Computer Science Department at the University
of Houston, Texas. Dr. Han is an NSF CAREER award recipient of 2010, and
the winner of the 2021 IEEE Kiyo Tomiyasu Award. He has been an IEEE
fellow since 2014, an AAAS fellow since 2020, ACM fellow since 2024, an
IEEE Distinguished Lecturer from 2015 to 2018, and an ACM Distinguished
Speaker from 2022-2025.
Speech Title: Generative AI for Wireless and Energy Systems: A Diffusion Model Perspective (Speech Abstract)
Prof. Haijun Zhang | 张海君教授
(IEEE Fellow, IET Fellow, Distinguished Lecturer of IEEE)
IEEE会士, IET会士, IEEE通信学会杰出讲师
University of Science and Technology
Beijing, China
北京科技大学
Biography:
Haijun Zhang is currently a Full Professor and Associate Dean in School
of Computer and Communications Engineering at University of Science and
Technology Beijing, China. He was a Postdoctoral Research Fellow in
Department of Electrical and Computer Engineering, the University of
British Columbia (UBC), Canada. He serves/served as Track Co-Chair of
VTC Fall 2022 and WCNC 2020/2021, Symposium Chair of Globecom'19, TPC
Co-Chair of INFOCOM 2018 Workshop on Integrating Edge Computing,
Caching, and Offloading in Next Generation Networks, and General
Co-Chair of GameNets'16. He serves/served as an Editor of IEEE
Transactions on Communications, and IEEE Transactions on Network Science
and Engineering. He received the IEEE CSIM Technical Committee Best
Journal Paper Award in 2018, IEEE ComSoc Young Author Best Paper Award
in 2017, IEEE ComSoc Asia-Pacific Best Young Researcher Award in 2019.
He is a Distinguished Lecturer of IEEE and a Fellow of IEEE.
Speech Title: 6G Resource Allocation with AI-Enabled Optimization (Speech Abstract)
Prof. Huanhuan Chen | 陈欢欢教授
(IEEE Fellow, AAIA Fellow)
IEEE会士, AAIA会士
University of Science and Technology of
China (USTC)
中国科学技术大学
Biography:
Huanhuan Chen is a Professor, Doctoral Supervisor, and University
Academic Committee member at the University of Science and Technology of
China (USTC). He has published over 200 papers in premier venues such as
Nature Communications, TPAMI, ICML, and AAAI. His excellence in academia
and mentorship is recognized by Wu Wenjun AI Science and Technology
Progress Award, the First Prize of the Anhui Provincial Teaching
Achievement Award, the "Outstanding Supervisor Award" of the Chinese
Academy of Sciences, and the Second Prize of the Natural Science Award
from the Ministry of Education, the INNS Young Investigator Award, the
IEEE Transactions on Neural Networks Best Paper Award, and prestigious
Ph.D. dissertation awards from both the IEEE Computational Intelligence
Society and the British Computer Society. As a Principal Investigator,
He has led numerous a number of initiatives, including the Science and
Technology Innovation 2030 — "New Generation AI" Major Project, National
Key R&D Program for intergovernmental international cooperation, and the
National Key R&D Program on Big Data Knowledge Engineering. His research
is further supported by a wide range of NSFC grants, including Key
Programs, Major Research Plans (with rolling support), and the
NSFC-Royal Society (UK) International Exchange Program, as well as Major
Special Projects of Anhui Province. He is a fellow of AAIA and IEEE.
Speech Title: Causal Learning and Its Applications (Speech Abstract)