Nuria Gonzalez Prelcic
Dr. Nuria Gonzalez-Prelcic works on the areas of signal processing theory and signal processing for wireless communications, with emphasis on vehicular and MIMO communications. Specifically, she has worked on filter banks, compressive sampling and estimation, multicarrier modulation, channel estimation and tracking and MIMO processing in general for millimeter wave communications. In the last 4 years she has published around 70 papers (20 journal papers and around 50 conference papers) in the topics of compressed sensing theory and its applications to millimeter wave and massive MIMO communications: wideband compressive channel estimation in mmWave massive MIMO systems, channel tracking in high mobility scenarios at mmWave, including vehicle-to-everything and aerial-to-everything communication, high accuracy positioning based on mmWave communication signals, design of low power architectures for mmWave MIMO systems, design of low complexity hybrid preceding/combining solutions for single user and multiple user scenarios, design of waveforms and algorithms for joint radar and V2X communications systems at mmWave, development of a prototype of a basic mmWave link, and millimeter wave aided by out of band information.
She is the assistant director of UT SAVES, a research center that addresses the challenges of wireless, networking, and sensing in vehicular systems.