Signals from physical infrastructures, such as the grid, have structural properties that are naturally governed by and can be explained using the laws of physics.

This talk suggests how to view those physical laws as instances of a Graph Signal Processing (GSP) signal, in a way that unveils a series of statistical and algebraic properties of the signal and that opens the door for applying GSP to develop machine learning algorithms using a parametric Bayesian framework.

In this talk we introduce the algorithmic foundations of GSP modeling for the analysis of signals and multivariate-time series whose support is a graph and unveil how power systems modeling supports the notion that the grid voltage phasors are a low-pass graph signal process.

Having established this connection we explore how to use GSP modeling and Graph Fourier Transforms (GFTs) allows directly
to derive sampling schemes, denoising, interpolation, general classification and system identification problems as well as compression of grid data.

Anna Scaglione (M.Sc.'95, Ph.D. '99) is currently a Professor of Electrical, Computer and Energy Engineering at Arizona State University. She was Professor of Electrical and Computer Engineering previously at the University of California at Davis (2008-2014) and at Cornell University (2001-2008), where she became Associate Professor with tenure in 2006. Prior to joining the engineering faculty at Cornell, Scaglione was an Assistant Professor at the University of New Mexico (2000-2001).

Dr. Scaglione’s expertise is in the broad area of statistical signal processing with application to communication networks, electric power systems/intelligent infrastructure and network science. Dr. Scaglione was elected an IEEE fellow in 2011. She is the recipient of the 2000 IEEE Signal Processing Transactions Best Paper Award, the 2013, IEEE Donald G. Fink Prize Paper Award for the best review paper in that year among all IEEE publications. Also, her work with her student earned the 2013 IEEE Signal Processing Society Young Author Best Paper Award (Lin Li) and several best conference paper awards. She was SPS Distinguished Lecturer for the years 2019-2020 and is the recipient of the 2020 Technical Achievement Award from the IEEE Communication Society Technical Committee on Smart Grid Communications.

Her record of service is extensive. She was Editor in Chief of the IEEE Signal Processing Letters in (2012-2013) and served as associate editor for the IEEE Transactions on Wireless Communications from 2002 to 2005 for the IEEE Transactions on Signal Processing from 2008-2009, where she was area editor in 2010-11. She is currently serving as Deputy EiC for the IEEE Transactions on Control of Networked Systems where she was Associate Editor 2016-2017 and then Senior Editor 2018-2019. She was General Chair of the SPAWC 2005 workshop and member of Signal Processing for Communication Committee from 2004 to 2009. She has been an IEEE SmartGridComm Conference steering committee from 2010 to 2013. She was on board of governors of the IEEE Signal Processing Society during 2011-2014 and was member of the SPS Awards Board in 2016-2017. She has also served in a number of IEEE conference technical committees and as Technical Chair for DCOSS 2010, SmartgridComm 2012 and GlobalSIP 2013, as well as Guest Editor for several special issues for IEEE journals and magazines.