Education

2008 – Dottorato di ricerca (Ph.D.) in "Environmental engineering" (Variational models for image and signal segmentation), University of Trento

2002 – Laurea (M.Sc. Degree) in “Ingegneria per l'Ambiente e il Territorio” (3D modeling of thermally driven winds in GIS), University of Trento
Academic career and teaching activities

Since 2016–  Associate Professor (SSD ICAR/06 - Geodesy and Geomatics), Department of Civil, Environmental and Mechanical Engineering, University of Trento (Italy).

2005–2016, Assistant Professor (SSD ICAR/06 - Geodesy and Geomatics), Department of Civil, Environmental and Mechanical Engineering, University of Trento (Italy).

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Teaching activities → see dedicated section
Research interests

Processing of simulated observations of the Earth gravitational field by means of the time–wise approach in the frequency domain for the evaluation of future satellite missions based on cold atom interferometry, such as MOCAST+, and on range observation of SST–ll missions such as NGGM/MAGIC in projects leaded by the Geodesy and Geomatics group of the Politecnico di Milano.

Application of geodetic methods for modeling in mechanical metrology, like parameter identification of articulated arm measuring machines.

Study of the Mumford–Shah and Blake–Zisserman models, of their numerical approximation and application for a) the segmentation of digital surface models, images and geodetic signals, and b) for imagery reconstruction.

Precise positioning and navigation using terrestrial and GNSS data, including use of Galileo observations in displacement analysis, GNSS tracking of lake drifters; GNSS–R for retrieval of snow pack height and soil moisture; design, adjustment and analysis of GNSS and classic networks for millimeter or sub–millimeter accuracy applications.

Remote sensing and for environmental applications and river science, including water depth and river bed material retrieval from high resolution satellite imagery, river geomorphology.

Analysis of satellite optical and SAR data for soil moisture retrieval and for detection, super resolution mapping and geometric characterization of river bed foot print; algorithms implementation on cloud based high performance geospatial processing services, such as Google Earth Engine.

Geographical Information System for the modeling of 3D phenomena defined in domains approximated by 3D raster.