P. Addesso

Paolo Addesso graduated summa cum laude in Electrical Engineering in 2000 (from the University of Salerno, Fisciano, Italy) with a thesis entitled "A bifractal model of earth surface: simulation and statistical analysis." From 2001 to 2003 he worked at Ericsson Lab Italy as a software designer in the network management area. In 2005 he received the Ph.D. degree (from the University of Salerno) defending his thesis on "Modeling and statistical analysis of backscattering from fractal surfaces." From 2005 to april 2015 he worked as a Research Fellow at the University of Salerno. Currently he is a Senior Assistant Professor/Lecturer (RTD type B) at the University of Salerno. He is co-recipient, within LIGO Scientific Collaboration (LSC), of two International Prizes - 2016 Special Breakthrough Prize in Fundamental Physics - 2016 Gruber Cosmology Prize for being co-author of the paper describing the discovery of gravitational waves, i.e. “Observation of Gravitational Waves from a Binary Black Hole Merger”, B. P. Abbott et al. (LIGO Scientific Collaboration and Virgo Collaboration), Phys. Rev. Lett. 116, 061102 – 11 February 2016. For this discovery, the most representative scientists of LSC, i.e. Rainer Weiss, Kip S. Thorne and Barry C. Barish, won the 2017 Nobel Prize in Physics. Paolo Addesso won a grant as Visiting Professor at GIPSA-lab, Universitè Grenoble Alpes - FR (23/01- 22/02/2017), for the research project “Data Fusion and Image Analysis for Remote Sensing”, in collaboration with Mauro Dalla Mura and Laurent Condat. Paolo Addesso has been a participant in several national research projects and two European (FP7) projects (GENIUS and DESIGN). He was a Member of the LIGO Scientific Collaboration (from 2012 to 2019). Currently, he is a Member of the KAGRA Scientific Collaboration and of the Virgo Scientific Collaboration since 2013 and 2017, respectively. Paolo Addesso is a member of the Editorial Board of the following International Journals: “Remote Sensing”, MDPI (from September 2020) “Eng—Advances in Engineering”, MDPI (from February 2020) “Mathematical Problems in Engineering”, Hindawi Publishing Corporation (from February 2015) His main research interests are about statistical methods in signal processing, with special reference to remote sensing , statistical characterization of nonlinear/multistable systems, gravitational waves, detection and estimation theory (sequential and/or distributed) and indoor localization.