A System-Level Approach to Secure and Spectrum-Aware Wireless Communications

Date: 2:00pm, November 17, 2017
Location:  Hamilton 509
Speaker:  Dr. Rabia Tugce Yazicigil, MIT

Abstract:  The wireless spectrum crunch is driving the urgent need for shared spectrum access technologies to replace current, highly inefficient, fixed spectrum allocation policies. Further, security has become a critical component in future low-power wireless networks focused on connecting edge devices. The goal of my research is to develop energy-efficient systems for secure and spectrum-aware wireless communications. By working at the intersection of protocols, signal processing, device characteristics, and circuit design, I develop unique system solutions that would not be possible through isolated investigation. I focus on cross-layer optimization from circuits to protocols to drastically improve energy efficiency and obtain higher performance. In this talk, I will discuss a signal-model-driven compressed-sensing RF system that offers a novel and immensely more energy-efficient approach for the quick detection of interferers in a wideband spectrum. I develop a system-level approach that enables compressed-sensing systems to work in dynamic spectrum environments with changing sparsity conditions. Lastly, I will discuss a novel ultra-fast bit-level frequency-hopping system with data-driven channel selection for secure wireless communications. 

Biography:  Rabia Tugce Yazicigil is currently a Postdoctoral Research Associate at MIT. She received her PhD degree in Electrical Engineering from Columbia University in 2016. She received the B.S. degree in Electronics Engineering from Sabanci University, Istanbul, Turkey in 2009, and the M.S. degree in Electrical and Electronics Engineering from École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland in 2011. Her research interests include Analog & RF integrated circuits, energy-efficient wireless systems, novel digital signal processing algorithms, and secure wireless communications. She has been a recipient of a number of awards, including the ”Electrical Engineering Collaborative Research Award” for her PhD research on Compressive Sampling Applications in Rapid RF Spectrum Sensing (2016), the second place at the Bell Labs Future X Days Student Research Competition (2015), Analog Devices Inc. outstanding student designer award (2015) and 2014 Millman Teaching Assistant Award of Columbia University. She was selected among the top 61 female graduate students and postdoctoral scholars invited to participate and present her research work in the 2015 MIT Rising Stars in Electrical Engineering Computer Science.


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