Professor Gonzalez-Prelcic works in signal processing for wireless communication, from the fundamentals of signal processing and wireless communications all the way to their applications in cellular systems for people, vehicles and factories. Her research group has made important contributions in millimeter wave wireless communications, solving fundamental problems related to configuring the hybrid MIMO architectures using signal processing and machine learning techniques. She has also pioneered techniques in integrated sensing and communications including the concepts of sensor-aided communications.

Her current research focuses on wireless communications for next generation cellular systems. Her group is developing new localization techniques that leverage the wireless communication to perform localization. This work enables devices to localize in satellite-denied environments in urban canyons or indoors. Another line of research is on full-duplex for next generation multiple-input multiple-output (MIMO) wireless communications. Her group is developing methods that allow full exploitation of communication and sensing capabilities thanks to full-duplex. Finally, her group is working on communication and radar sensing in the upper midbands, milimeter waves and terahertz frequencies. These spectral frontiers offer higher bandwidths and work with larger arrays, supporting higher data rates and more accurate sensing. She is excited about applications to vehicular systems.