Estimados,
El próximo viernes 2 de diciembre a las 17:30 hs, el Prof. Santiago Segarra de Rice University dará una charla que cubrirá la temática de redes neuronales sobre grafos para aplicaciiones de comunicaciones. Así mismo también contará sobre las posibilidad de hacer un doctorado en el área de procesamiento de señales y machine learning en USA.
La charla en principio sería en la Sala Multimedia de Paseo Colón, dependiendo de como se desarrolle la situación edilicia. En todo caso por este medio a medida que se acerque la fecha confirmaremos el lugar y/o modalidad de la charla.
A continuación encontrarán un resumen de la charla y una breve bio del Prof. Segarra.
Redes Neuronales en Grafos con Aplicaciones a Comunicaciones
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As the availability of relational data continues to grow, graph-based modeling and processing techniques have become a mainstay in the current research landscape, cutting across fields of knowledge. Drawing from graph signal processing, in this talk we provide a first introduction to graph neural networks (GNNs), emphasizing their properties and connections to classical signal processing and machine learning. Furthermore, we present several applications of GNNs in wireless communications. More specifically, we discuss the use of GNNs in conjunction with algorithmic unfolding for quasi-optimal power allocation and distributed link scheduling.
¿Por qué hacer un PhD en USA?
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¿Qué es un doctorado? ¿Cuál es la diferencia con una maestría? ¿En que trabaja un/una doctor/a? ¿Cómo aplico? ¿Cuánto vale? ¿Cómo es el día a día de un/una doctorando? ¿Cuánto demora?
Te invitamos a una charla informal y en español sobre aspectos prácticos de un doctorado en el exterior.
Bio:
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.Sc. 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 a W. M. Rice Trustee 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. Dr. Segarra received the ITBA’s 2011 Best Undergraduate Thesis Award in Industrial Engineering, the 2011 Outstanding Graduate Award granted by the National Academy of Engineering of Argentina, the 2017 Penn’s Joseph and Rosaline Wolf Award for Best Doctoral Dissertation in Electrical and Systems Engineering, the 2020 IEEE Signal Processing Society Young Author Best Paper Award, the 2021 Rice’s School of Engineering Research + Teaching Excellence Award, and five best conference paper awards.