Pietro Mastro received an M.S. degree (summa cum laude) in computer engineering and information technology from the University of Basilicata, Potenza, Italy, in 2019, where he is pursuing a Ph.D. degree in engineering for innovation and sustainable development. His main research interest is in the field of remote sensing with active and passive sensors, including the development of advanced differential synthetic aperture radar interferometry (DInSAR) algorithms for the monitoring of surface deformation phenomena induced by subsidence, volcano activities, and earthquakes, with a particular interest toward noise filtering problems. His research activities are also in the field of Fourier spectroscopy methods, and the experimental techniques applied to the study of environment, Earth atmosphere, land processes, and remote sensing of atmospheric and surface parameters. Mr. Mastro was a recipient of the Central-North Italy Chapter best M.S. degree thesis in Geoscience and Remote Sensing Award from the IEEE Geoscience and Remote Sensing Society in 2019.
Pietro Mastro received an M.S. degree (summa cum laude) in computer engineering and information technology from the University of Basilicata, Potenza, Italy, in 2019, where he is pursuing a Ph.D. degree in engineering for innovation and sustainable development. His main research interest is in the field of remote sensing with active and passive sensors, including the development of advanced differential synthetic aperture radar interferometry (DInSAR) algorithms for the monitoring of surface deformation phenomena induced by subsidence, volcano activities, and earthquakes, with a particular interest toward noise filtering problems. His research activities are also in the field of Fourier spectroscopy methods, and the experimental techniques applied to the study of environment, Earth atmosphere, land processes, and remote sensing of atmospheric and surface parameters. Mr. Mastro was a recipient of the Central-North Italy Chapter best M.S. degree thesis in Geoscience and Remote Sensing Award from the IEEE Geoscience and Remote Sensing Society in 2019.