Santiago Segarra Receives Best Student Paper Award at 2016 IEEE Workshop on Statistical Signal Processing
Santiago Segarra, doctoral student in Electrical and Systems Engineering, is the recipient of the Best Student Paper Award at the 2016 IEEE Workshop on Statistical Signal Processing (SSP) held in Palma de Mallorca, Spain. SSP 2016 is the 19th of a series of unique meetings that bring members of the IEEE Signal Processing Society together with researchers from allied fields such as bioinformatics, communications, machine learning, and statistics.
His paper "Network Topology Identification from Spectral Templates" introduces a novel scheme to recover the topology of an unknown network from the observation of signals at its nodes. Potential applications of such a methodology range from the determination of brain graphs from brain activity to social networks from online posts. Co-authors on the paper are Antonio G. Marques, associate professor at the King Juan Carlos University (Spain), Gonzalo Mateos, assistant professor at the University of Rochester, and his advisor Alejandro Ribeiro, associate professor in ESE at the University of Pennsylvania.
The paper was presented in poster format by Santiago during the conference and the award was then granted based on a combination of technical relevance and presentation clarity.