Prof. Assaf Schuster
Technion - Israel Institute of Technology, Israel
ACM Fellow and IEEE Fellow
Prof. Assaf Schuster of the Computer Science Department at the Technion published over 250 papers in the areas of Machine Learning, AI, Streaming Data, Big Data Systems, Parallel and Distributed Computing, Scalability. He is a Fellow of the ACM and the IEEE, and is heading MLIS, the Technion center for Machine Learning and Intelligent Systems.
Prof. Zhu Han
John and Rebecca Moores Professor,
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, an
IEEE Distinguished Lecturer from 2015 to 2018, and an ACM Distinguished
Speaker from 2022-2025. Dr. Han is also a 1% highly cited researcher
Prof. Gang Wang
Beijing Institute of Technology, China
Dr. Gang Wang received a B.Eng. degree in Automatic Control in 2011, and a Ph.D. degree in Control Science and Engineering in 2018, both from the Beijing Institute of Technology, Beijing, China. He also received a Ph.D. degree in Electrical and Computer Engineering from the University of Minnesota, Minneapolis, USA, in 2018, where he stayed as a postdoctoral researcher until July 2020. Since August 2020, he has been a professor with the School of Automation at the Beijing Institute of Technology. His research interests focus on the areas of signal processing, control, and reinforcement learning with applications to cyber-physical systems and multi-agent systems. He was the recipient of the Best Paper Award from the Frontiers of Information Technology & Electronic Engineering (FITEE) in 2021, the Excellent Doctoral Dissertation Award from the Chinese Association of Automation in 2019, the Best Conference Paper at the 2019 IEEE Power & Energy Society General Meeting, and the Best Student Paper Award from the 2017 European Signal Processing Conference. He is currently on the editorial boards of Signal Processing, Actuators, and IEEE Transactions on Signal and Information Processing over Networks.