Gonzalo Mateos was born in Montevideo, Uruguay, in 1982. He received his BSc degree in electrical engineering from Universidad de la Republica, Uruguay in 2005; and the MSc and PhD degrees in electrical engineering from the University of Minnesota, in 2009 and 2012. Since 2014, he has been an assistant professor with the Department of Electrical and Computer Engineering, University of Rochester. During 2013, he was a visiting scholar with the Computer Science Department, Carnegie Mellon University. From 2003 to 2006, he worked as a systems engineer, Automation Technologies Division at ABB, Uruguay.
His research interests lie in the areas of statistical learning from Big Data, network science, wireless communications, and signal processing. His current research focuses on algorithms, analysis, and application of statistical signal processing tools to dynamic network health monitoring, social networks, the power grid, and Big Data analytics. Since 2012, he has served on the Editorial Board of the EURASIP Journal on Advances in Signal Processing. He received the Best Student Paper Award at the 13th IEEE Workshop on Signal Processing Advances in Wireless Communications, 2012 held at Cesme, Turkey, and was also a finalist of the Student Paper Contest at the 14th IEEE DSP Workshop, 2011 held at Sedona, Arizona, USA. His doctoral work has been recognized with the 2013 University of Minnesota’s Best Dissertation Award (Honorable Mention) across all physical sciences and engineering areas.