Luca Sanguinetti is an Associate Professor at the University of Pisa, Italy. He received the Laurea degree (cum laude) in telecommunications engineering and his Ph.D. degree in information engineering from the University of Pisa in 2002 and 2005, respectively. From 2007 to 2008, he was a Post-Doctoral Associate with the Department Electrical Engineering, Princeton. From 2013 to 2017, he was with the Large Systems and Networks Group, CentraleSupélec, Gif-sur-Yvette, France. He served as the Exhibit Chair of the 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing and as the General Co-Chair of the 2016 Tyrrhenian Workshop on 5G & Beyond. He also served as a Technical Co-Chair of European Wireless 2018, and as Special Session Chair of ISWCS18. He is the general chair of SPAWC 2021 (Lucca, Sept. 2021), and also the executive vice-chair of ICC 2023 (Rome, May 2023). He received the 2018 Marconi Prize Paper Award in Wireless Communications and co-authored a paper that received the young best paper award from the ComSoc/VTS Italy Section. He was also a recipient of the FP7Marie Curie IEF 2013 DENSE4GREEN (Dense deployments for green cellular networks). For more information, see https://people.unipi.it/luca_sanguinetti/
Invited Talk: “Reconfigurable Intelligent Surfaces: principles, methodologies, and challenges”
Abstract: Reconfigurable intelligent surface (RIS) is an umbrella term used for two-dimensional surfaces that can reconfigure how they interact with electromagnetic waves, to synthesize the scattering and absorption properties of other objects. This feature can be utilized to improve the wireless physical-layer channel between transmitters and receivers; for example, to enhance the received signal power at desired locations and suppress interference at undesired locations. In this talk, we begin by covering the main motivation and properties of RIS and then describe basic communication results that are useful to quantify the fundamental gains, behaviors, and limits of the technology. To inspire further research, we conclude by identifying potential challenges that must be addressed for RIS to become a successful technology.