Gonzalo Mateos earned the B.Sc. degree from Universidad de la Republica, Uruguay, in 2005, and the M.Sc. and Ph.D. degrees from the University of Minnesota, Twin Cities, in 2009 and 2011, all in electrical engineering. He joined the University of Rochester, Rochester, NY, in 2014, where he is currently an Associate Professor with the Department of Electrical and Computer Engineering, as well as the Associate Director for Research at the University of Rochester’s Goergen Institute for Data Science. He also was the Asaro Biggar Family Fellow in Data Science (2020-23). During the 2013 academic year, he was a visiting scholar with the Computer Science Department at Carnegie Mellon University. From 2004 to 2006, he worked as a Systems Engineer at Asea Brown Boveri (ABB), Uruguay. His research interests lie in the areas of statistical learning from complex data, network science, decentralized optimization, and graph signal processing, with applications in brain connectivity, wireless network monitoring, power grid analytics, and information diffusion.
Dr. Mateos was an elected member of the IEEE SPS SPTM and SAM Technical Committees (2016-2020). He recently served as Senior Area Editor for the IEEE Transactions on Signal Processing (2020-2024, he was an Associate Editor during 2015-2019) and as an Associate Editor for the IEEE Transactions on Signal and Information Processing over Networks (2018-2022). During 2018-2020, he was a member of the IEEE SigPort Editorial Board. He was Finance Chair for the 2019 IEEE Data Science Workshop, General co-Chair for the 2019 IEEE SPS/EURASIP Summer School on Network- and Data-driven Learning, and will serve as General co-Chair for 2025 IEEE CAMSAP.
My (probably outdated) CV can be found here.
