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Professor Han Zhu from the University of Houston Gives a Series of Webinars for the College of Communication Engineering

June 28, 2021   browse:

On May 31st, June 2 nd, and June 4th, 2021, Professor Han Zhu from the University of Houston, USA, gave a series of 3-day webinars for the faculty and students of the College of Communication Engineering. Our faculty and students participated in the seminar, presided over by Professor Hu Fengye via the online website or offline meeting venue. Nearly 150 of us attended the seminar.

Professor Han Zhu delivered a series of academic reports on three topics: “MetaSensing: Reconfigurable intelligent surface Assisted RF 3D Sensing using Machine Learning”, “Secure Computation with Privacy Preservation for Cyber Physical System Applications”, and “Mean Field Game Tutorial and Examples”.

First, Professor Han introduced the basic knowledge of 6G communication and the foundation and potential application of the Reconfigurable Intelligent Surface (RIS). Then, he talked about using RIS to assist Radio Frequency sensing and positioning system. Through the sharing and discussion of three cases, he highlighted the unique functions of RIS and discussed further the possibility of its future development direction.

In the following lectures, Professor Han introduced Cyber Physical Systems (CPS). He further introduced the research direction of interdisciplinary research work by combining security/privacy protection with cyber-physical fusion modeling of various information. He elaborated on the emergency demand response of data centers based on downlink clock auction, the ADMM method of cost-sensing device scheduling in smart home, and differential private optimization of physiological sensor machine learning, expressing the importance of security and privacy protection for building a highly trusted and secure customer service system.

Finally, Professor Han expounded on the basic framework and research scheme of the mean-field game theory in the lecture, demonstrated comprehensively how to use them to solve practical problems by taking various theories as examples, summarized relevant conclusions, and pointed out the limitations of the current research and the future development direction.

Professor Han Zhu gave a wonderful academic report on cutting-edge wireless communication technology. The simultaneous discussion in the seminar online and offline was overwhelmingly heated with plenty of thoughtful questions raised by faculty and students. Professor Han answered those questions one by one patiently.  Alongside broadening students’ knowledge pool of wireless communication, the series of webinars also inspired them to learn more in the future.

Bio: Zhu Han received a B.S. degree in electronic engineering from Tsinghua University, in 1997, and an 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 at 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. 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 in 2010. Dr. Han has several IEEE conference best paper awards, and winner of the 2011 IEEE Fred W. Ellersick Prize, the 2015 EURASIP Best Paper Award for the Journal on Advances in Signal Processing, and the 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, an AAAS fellow since 2020, and IEEE Distinguished Lecturer from 2015 to 2018. Dr. Han is a 1% highly cited researcher according to Web of Science since 2017.


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