Intelligent Nano-Electro-Mechanics for Adaptive RF Communication
The emerging connected world of the IoT era relies on massive wireless communication among billions of users, leading to inevitable interference and congestion of our limited spectrum resources. My team addresses the spectrum and interference management challenge by developing intelligent nano-electro-mechanical systems that enable adaptive RF spectral processing. In this talk, I will share innovative techniques for monolithic integration of configurable filters over cm- and mm-wave frequencies to realize chip-scale software-defined radios for the first time. I will also introduce exciting opportunities at the intersection of semiconductor electronics, emerging ferroelectrics, and nano-mechanics to enable instinctual RF interference management with zero power consumption.
Assistant Professor, University of Florida on September 18, 2020 at 10:00 AM in Zoom Webinar
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Roozbeh Tabrizian is an Assistant Professor and the Alan Hastings Faculty Fellow at the Department of Electrical and Computer Engineering at the University of Florida. He received his B.S. (2007) degree in Electrical Engineering from Sharif University of Technology, Iran, and the Ph.D. (2013) degree in Electrical and Computer Engineering from the Georgia Institute of Technology. He was a Post-Doctoral Scholar (2014-2015) at the University of Michigan. His research interests include RF micro- and nano-electro-mechanical systems (RF N/MEMS), nonlinear, nonreciprocal, and hybrid NEMS for sensing and information processing, and emerging ferroelectric materials and devices. Tabrizian has received a DARPA Young Faculty Award (2019) and an NSF CAREER Award (2018). His research has resulted in more than 60 journal and refereed conference papers. He holds 16 patents and patent applications. Tabrizian and his students are recipients of multiple outstanding paper awards at top-tier conferences such as IEEE MEMS and Transducers.
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