Alejandro Ribeiro received the B.Sc. degree in electrical engineering from the Universidad de la República Oriental del Uruguay in 1998 and the M.Sc. and Ph.D. degrees in electrical engineering from the Department of Electrical and Computer Engineering at the University of Minnesota in 2005 and 2007. He joined the University of Pennsylvania (Penn) in 2008 where he is currently the Solomon & Sylvia G. Charp Professor of Electrical Engineering. His research is on the foundations of artificial intelligence (AI) and on the use of AI in network systems. His group has made seminal contributions to constrained learning, graph signal processing, and graph neural networks (GNNs). They have pioneered the use of GNNs in wireless communications, distributed collaborative robotic systems, and power distribution grids. Papers coauthored by Dr. Ribeiro received the 2024 and 2022 IEEE Signal Processing Society Best Paper Awards, the 2022 IEEE Brain Initiative Student Paper Award, the 2021 Cambridge Ring Publication of the Year Award, the 2020 IEEE Signal Processing Society Young Author Best Paper Award, the 2014 O. Hugo Schuck best paper award, and paper awards at EUSIPCO 2021, ICASSP 2020, EUSIPCO 2019, CDC 2017, SSP Workshop 2016, SAM Workshop 2016, Asilomar SSC Conference 2015, ACC 2013, ICASSP 2006, and ICASSP 2005. His teaching has been recognized with the 2017 Lindback award for distinguished teaching and the 2012 S. Reid Warren, Jr. Award presented by Penn’s undergraduate student body for outstanding teaching. Dr. Ribeiro received an Outstanding Researcher Award from Intel University Research Programs in 2019. He is a Penn Fellow class of 2015 and a Fulbright scholar class of 2003. He is husband to Gabriela and father to Miranda, Guillermo, and Ariel.
Electrical and Systems Engineering, University of Pennsylvania