Engineering | School of Electrical, Computer and Energy Engineering

Anna Scaglione

ASU Directory Profile

GWC 310, Office
GWC 325, Lab
Lab website

Research areas: Statistical signal and array processing, sensor networks and network science, communication and information theory, energy delivery and power systems.

Anna Scaglione’s expertise spans the areas of statistical signal processing for communication, electric power systems and information networks. Her main research focus is advancing intelligent infrastructures, through system modeling, optimization and data analysis. Specific topics include decentralized information processing in sensor networks and among social agents as well as cybersecurity and demand response for reliable energy delivery.  She is a fellow of the IEEE, recipient of the 2013 IEEE Fink Award and 2000 Best Paper Award in the IEEE Signal Processing Society.

Professional preparation
Ph.D.,  University of Rome, La Sapienza, 1999
M.Sc., University of Rome, La Sapienza, 1996

Selected publications

R. Gentz; A. Scaglione; L. Ferrari; Y. W. P. Hong, “PulseSS: A Pulse-Coupled Synchronization and Scheduling Protocol for Clustered Wireless Sensor Networks,” in IEEE Internet of Things Journal, vol.PP, no.99, pp.1-1, 2016

M. Parvania and A. Scaglione, “Unit Commitment With Continuous-Time Generation and Ramping Trajectory Models,” in IEEE Transactions on Power Systems, vol. 31, no. 4, pp. 3169-3178, July 2016.

H.T. Wai; A. Scaglione; A. Leshem, “Active Sensing of Social Networks,” in IEEE Transactions on Signal and Information Processing over Networks, vol.PP, no.99, pp.1-1, 2016.

S. Bagheri, A. Scaglione, “The Restless Multi-Armed Bandit Formulation of the Cognitive Compressive Sensing Problem,” Signal Processing, IEEE Transactions on, vol.63, no.5, pp.1183,1198, March, 2015

M. Alizadeh, X. Yuanzhang, A. Scaglione, M. van der Schaar, “Dynamic Incentive Design for Participation in Direct Load Scheduling Programs”, IEEE Journal of  Selected Topics in Signal Processing, Page(s): 1111 – 1126, 2014

M. Alizadeh, A. Scaglione, A. Applebaum, G. Kesidis, K. Levitt,. “Reduced-Order Load Models for Large Populations of Flexible Appliances” IEEE Transactions on Power Systems, Volume: PP, Issue: 99, Publication Year: 2014 , Page(s): 1 – 17

C. McParland, S. Peisert, A. Scaglione,”Monitoring Security of Networked Control Systems: It’s the Physics” IEEE Security and Privacy,12(6), November/December 2014

C. Chamley, A. Scaglione, L. Lin, “Models for the Diffusion of Beliefs in Social Networks: An Overview,” IEEE Signal Processing Magazine, vol.30, no.3, pp.16-29, May. 2013

S. Galli, A. Scaglione, Z. Wang, “For the Grid and through the Grid: the role of powerline communications in Smartgrid” in the special issue “Smart Grid: The Electric Energy System of the Future,” Proceedings of the IEEE, vol.99, no.6, pp.913-914, June 2011