EDUCATION:
Nov. 1989 – Oct. 1992 Ph.D. in “Electronics, Computer Science and Electrical Engineering” Dissertation title: Wideband analysis of quasi-planar waveguide at microwave and millimeter-wave frequencies University of Pavia
• January 1989 Laurea in Electronic Engineering Thesis title: 3D Electromagnetic analysis of planar circuits with the method of “subdvision into cylindrical zones” University of Pavia 110/110 “cum laude”
• July 1983 Maturità Classica Liceo Classico “D.Manin”, Cremona 60/60

CURRENT POSITION:
• To date since Oct. 1st, 2001, Associate Professor in Telecommunications and Remote Sensing, University of Pavia
• To date since Jan 1st, 2012, Adjunct Professor of the International Institute of Earth System Science, Nanjing University (P.R. China)

PROFESSIONAL EXPERIENCES:
• Nov. 1st, 2009 – Feb. 29th, 2012, Deputy Head of the Department of Electronics, University of Pavia
• Dec. 1st, 2000 – Sept. 30th, 2001, Confirmed Assistant Professor in Telecommunications and Remote Sensing, University of Pavia
• Dec. 1st,1997 – Nov. 30th, 2000, Confirmed Assistant Professor in Electromagnetics, University of Pavia
• Dec. 1st, 1994 – Dec 18th, 1997, Assistant Professor in Electromagnetics, University of Pavia
• Jan. 1992 – Nov. 30th,1994, Senior Microwave circuit designer, Siemens TLC (Milan, Italy)

RESEARCH INTERESTS:
a) Analysis of EO data to monitor fundamental processes in urban areas (such as soil sealing for runoff models, heat islands for thermal efficiency, land use maps for radiation transfer models, exposure and exposure for risk models).
b) Development of novel tools to extract quantitative parameters from remotely sensed data and to link the extracted information to environmental models and earth surface change processes:
• classification, mapping and geospatial data fusion procedures for the retrieval of parameters and information layers essential to understand the above mentioned processes;
• signal and image processing in high dimensional spaces, applications in very high resolution remote sensing;
• joint design, together with environmental scientists, of models able to capture the behavior of the same processes, tuned and validated by means of the parameters extracted from Earth observation (EO) data.
c) Design of data fusion techniques to exploit information coming from multiple EO and in situ data sources for environmental risk models at local, regional and global scale:
• feature extraction, selection and combination procedures to evaluate spectral, spatial and temporal characteristics of each available data source for their comparison (e.g. change detection) or synergetic use (e.g. multivariate regression);
• fusion of features by means of algorithms able to reconcile multiple features from both homogeneous and heterogeneous data sources (e.g. 2D/3D, vector and raster, …) and/or different scales via inference or aggregation schemes.
d) Signal processing for digital communications in wireless sensor networks.

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