Zhu Han of Houston, TX, United States

Integration of Sensing and Communication (ISAC) is a key use case in emerging 6Gnetworks, aiming to enhance situational awareness and improve network efficiency.By simultaneously sensing the environment and transmitting data, ISAC enablesadvanced applications such as autonomous driving and smart cities. However,challenges remain in spectrum sharing, interference management, and real-timeprocessing, requiring innovative solutions in signal design and resource allocation. Inthis talk, we first describe the motivation, history, waveforms and tradeoffs. Then webriefly explain some of our recent works supported by US National ScienceFoundation including Cross-domain Waveform Design, Multiuser Resource Allocation,RIS-ISAC: DISCO PLS Attack, High Speed Train and Optical ISAC. Finally, we showour prototype demo in IEEE ICCC 2024 and Milcom 2024, and then discuss thestandardization and future work.

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 in the Computer Science Department at the University of Houston, Texas. His research interests include wireless resource allocation and management, wireless communications and networking, game theory, big data analysis, security, and smart grid.  Dr. Han received an NSF Career Award in 2010, the Fred W. Ellersick Prize of the IEEE Communication Society in 2011, the EURASIP Best Paper Award for the Journal on Advances in Signal Processing in 2015, IEEE Leonard G. Abraham Prize in the field of Communications Systems (best paper award in IEEE JSAC) in 2016, and several best paper awards in IEEE conferences. Dr. Han was an IEEE Communications Society Distinguished Lecturer from 2015-2018, AAAS fellow since 2019, ACM distinguished Member since 2019 and ACM distinguished speaker 2022-2025. Dr. Han is a 1% highly cited researcher since 2017 according to Web of Science. Dr. Han is also the winner of the 2021 IEEE Kiyo Tomiyasu Award, for outstanding early to mid-career contributions to technologies holding the promise of innovative applications, with the following citation: ``for contributions to game theory and distributed management of autonomous communication networks."