2010 B.S. Industrial Engineering, Buenos Aires Institute of Technology (ITBA)
2014 M.S. Electrical Engineering, University of Pennsylvania
2016 Ph.D. Electrical and Systems Engineering, University of Pennsylvania
Data Science for Networks. Modeling, analysis, and design of networked systems. Signal processing, machine learning, optimization, and algebraic topology applied to the understanding of networks and network data.
Topics of interest include clustering in social and technological networks, authorship attribution problems, abstract representations of network data structures, networks in Neuroscience, linear and nonlinear network dynamics, social networks and team dynamics, and processing of signals defined on graphs
Santiago Segarra received the B.Sc. degree in industrial engineering with highest honors (Valedictorian) from the Instituto Tecnológico de Buenos Aires (ITBA), Argentina, in 2011, the M.S. in electrical engineering from the University of Pennsylvania (Penn), Philadelphia, in 2014 and the Ph.D. degree in electrical and systems engineering from Penn in 2016. From September 2016 to June 2018 he was a postdoctoral research associate with the Institute for Data, Systems, and Society at the Massachusetts Institute of Technology. Since July 2018, Dr. Segarra is an Assistant Professor in the Department of Electrical and Computer Engineering at Rice University. His research interests include network theory, data analysis, machine learning, and graph signal processing.
ITBA’s 2011 Best Undergraduate Thesis Award in industrial engineering
2011 Outstanding Graduate Award granted by the National Academy of Engineering of Argentina
2017 Penn’s Joseph and Rosaline Wolf Award for Best Doctoral Dissertation in electrical and systems engineering