University of Trento, Italy
Network of Federated Laboratories
Andrea Massa (IEEE Fellow, IET Fellow, Electromagnetic Academy Fellow) he has been a Full Professor of Electromagnetic Fields @ University of Trento since 2005. At present, Prof. Massa is the director of the network of federated laboratories “ELEDIA Research Center” located in Brunei, China, Czech, France, Greece, Italy, Japan, Perù, Tunisia with more than 150 researchers. Moreover, he is holder of a Chang-Jiang Chair Professorship @ UESTC (Chengdu – China), Professor @ CentraleSupélec (Paris – France), and Visiting Professor @ Tsinghua (Beijing – China). He has been holder of a Senior DIGITEO Chair at L2S-CentraleSupélec and CEA LIST in Saclay (France), UC3M-Santander Chair of Excellence @ Universidad Carlos III de Madrid (Spain), Adjunct Professor at Penn State University (USA), Guest Professor @ UESTC (China), and Visiting Professor at the Missouri University of Science and Technology (USA), the Nagasaki University (Japan), the University of Paris Sud (France), the Kumamoto University (Japan), and the National University of Singapore (Singapore). He has been appointed IEEE AP-S Distinguished Lecturer (2016-2018) and served as Associate Editor of the “IEEE Transaction on Antennas and Propagation” (2011-2014).
His research activities are mainly concerned with inverse problems, antenna analysis/synthesis, radar systems and signal processing, cross-layer optimization and planning of wireless/RF systems, system-by-design and material-by-design (metamaterials and reconfigurable-materials), and theory/applications of optimization techniques to engineering problems (coms, medicine, and biology).
Prof. Massa published more than 700 scientific publications among which more than 350 on international journals (> 12.000 citations – h-index = 55 [Scopus]; > 9.500 citations – h-index = 48 [ISI-WoS]; > 20.000 citations – h-index = 80 [Google Scholar]) and more than 500 in international conferences where he presented more than 200 invited contributions (> 35 invited keynote speaker) (www.eledia.org/publications). He has organized more than 100 scientific sessions in international conferences and has participated to several technological projects in the European framework (>20 EU Projects) as well as at the national and local level with national agencies (>300 Projects/Grants).
Title: Compressive Processing – Current Trends and Advanced Applications in Signal Processing
The widely known Shannon/Nyquist theorem relates the number of samples required to reliably retrieve a “signal” to its (spatial and temporal) bandwidth. This fundamental criterion yields to both theoretical and experimental constraints in several Engineering applications. Indeed, there is a relation between the number of measurements/data (complexity of the acquisition/ processing), the degrees of freedom of the field/signal (temporal/spatial bandwidth), and the retrievable information regarding the phenomena at hand (e.g., dielectric features of an unknown object, presence/position of damages in an array, location of an unknown incoming signal). The new paradigm of Compressive Processing (CP) is enabling to completely revisit these concepts by distinguishing the “informative content” of signals from their bandwidth. Indeed, CP theory asserts that one can recover certain signal/phenomena exactly from far fewer measurements than it is indicated by Nyquist sampling rate. To achieve this goal, CP relies on the fact that many natural phenomena are sparse (i.e., they can be represented by few non‐zero coefficients in suitable expansion bases), and on the use of aperiodic sampling strategies, which can guarantee, under suitable conditions, a perfect recovery of the information content of the signal. Despite its recent introduction, the application of CP methodologies to Engineering has already enabled several innovative design/synthesis methodologies and retrieval/diagnosis methods to be developed. In this framework, this talk is aimed at reviewing the fundamentals of the CP paradigm, specifically focusing on the applicability conditions, requirements, and guidelines for Electromagnetic (EM) Signal Processing applications. Moreover, it is aimed at illustrating the state‐of‐the‐art and the most recent advances in EM Engineering (including application of CP to antenna synthesis and diagnosis, direction‐of‐arrival estimation, inverse scattering, and radar imaging), as well as at envisaging possible future research trends and challenges
within CP as applied to EM Signal Processing.