2018年7月6日学术报告

报告题目(Title):  An introduction to signal processing on graphs

报告人姓名(Speaker):  Antonio G. Marques

时间(Date&Time): 2018.7.6, 13:30

地点(Location):  B240, School of IoT

报告摘要(Abstract): 

Networks can be understood as complex systems formed by multiple nodes, where global network behaviour arises from local interactions between connected nodes. The simplicity of this definition drives the application of graphs and networks to a wide variety of disciplines such as biology, sociology, economics, engineering, or computer science. Often, networks have intrinsic value and are themselves the object of study. In other occasions, the network defines an underlying notion of proximity, but the object of interest is a signal defined on top of the graph, i.e., data associated with the nodes of the network. This is the matter addressed by graph signal processing (GSP), where the notions of, e.g., frequency and linear filtering are extended to signals supported on graphs. The goal of this talk is to introduce people with a general knowledge of signal processing and statistics to the fundamentals of GSP. During the first part of the talk, the concepts of graph signals, graph Fourier Transform and graph filters will be introduced. During the second part, we will apply those concepts to the problems of sampling, reconstruction and blind deconvolution of signals defined on graphs.

报告人简介(Biography): 

Antonio G. Marques received the telecommunications engineering degree and the Doctorate degree, both with highest honors, from the Carlos III University of Madrid, Madrid, Spain, in 2002 and 2007, respectively. In 2007, he became a faculty in the Department of Signal Theory and Communications, King Juan Carlos University, Madrid, Spain, where he currently develops his research and teaching activities as an Associate Professor. From 2005 to 2015, he held different visiting positions at the University of Minnesota, Minneapolis, MN, USA. In 2015 and 2016, he was a Visitor Scholar in the University of Pennsylvania, Philadelphia, PA, USA.

His research interests lie in the areas of signal processing, networking and communications. His current research focuses on stochastic optimization of wireless and power networks, signal processing for graphs, and nonlinear network optimization. He has served the IEEE in a number of posts, collaborating on the organization of more than 20 IEEE conferences and workshops. Currently, he is an Associate Editor of the SIGNAL PROCESSING LETTERS, a member of the IEEE Signal Processing Theory and Methods Technical Committee and a member of the IEEE Signal Processing for Big Data Special Interest Group. Dr. Marques’ work has been awarded in several conferences and workshops, with recent best paper awards including Asilomar 2015, IEEE SSP 2016 and IEEE SAM 2016.