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SUMMARY:Graph signal processing tools for distributed sampling and topolog
 y inference
DTSTART:20160707T110000
DTEND:20160707T120000
DTSTAMP:20260428T115755Z
UID:4726fea4cc4ac5c216fb5bcfa639ef0af4128bd940fa4757f67b55fc
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Alejandro Ribeiro\, University of Pennsylvania (Penn)\,
  Philadelphia\nAbstract: A network can be understood as a complex system f
 ormed by multiple nodes\, where global network behavior arises from local 
 interactions between connected nodes. Often\, networks have intrinsic valu
 e and are themselves the object of study. In other occasions\, the network
  defines an underlying notion of proximity or dependence\, but the object 
 of interest is a signal defined on top of the graph. This is the matter ad
 dressed in the field of graph signal processing (GSP). Graph-supported sig
 nals appear in many engineering and science fields such as gene expression
  patterns defined on top of gene networks and the spread of epidemics over
  social networks. Transversal to the particular application\, the philosop
 hy behind GSP is to advance the understanding of network data by redesigni
 ng traditional tools originally conceived to study signals defined on regu
 lar domains and extend them to analyze signals on the more complex graph d
 omain. In this talk\, we will introduce the main building blocks of GSP an
 d illustrate the utility of these concepts through real-world applications
 . Our focus will be on the reconstruction of graph signals from local samp
 les and the inference of underlying graph structures from graph signal obs
 ervations.Bio: Alejandro Ribeiro received the B.Sc. degree in electrical e
 ngineering from the Universidad de la Republica Oriental del Uruguay\, Mon
 tevideo\, in 1998 and the M.Sc. and Ph.D. degree in electrical engineering
  from the Department of Electrical and Computer Engineering\, the Universi
 ty of Minnesota\, Minneapolis in 2005 and 2007. From 1998 to 2003\, he was
  a member of the technical staff at Bellsouth Montevideo. After his M.Sc. 
 and Ph.D studies\, in 2008 he joined the University of Pennsylvania (Penn)
 \, Philadelphia\, where he is currently the Rosenbluth Associate Professor
  at the Department of Electrical and Systems Engineering. His research int
 erests are in the applications of statistical signal processing to the stu
 dy of networks and networked phenomena. His focus is on structured represe
 ntations of networked data structures\, graph signal processing\, network 
 optimization\, robot teams\, and networked control. Dr. Ribeiro received t
 he 2014 O. Hugo Schuck best paper award\, the 2012 S. Reid Warren\, Jr. Aw
 ard presented by Penn's undergraduate student body for outstanding teachin
 g\, the NSF CAREER Award in 2010\, and paper awards at the 2015 Asilomar C
 onference on Signals Systems and Computers\, the 2013 American Control Con
 ference\, as well as the 2006 and 2005 International Conferences on Acoust
 ics\, Speech and Signal Processing. Dr. Ribeiro is a Fulbright scholar and
  a Penn Fellow.
LOCATION:BC 01 https://plan.epfl.ch/?room==BC%2001
STATUS:CONFIRMED
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