Your browser does not support Javascript



Nicola Creati

Nicola Creati's picture
Telephone number: 
  • 2000: Bachelor’s degree in Geological Sciences, score 110/110 with honours, at the Università degli Studi "G. D'Annunzio" of Chieti with dissertation on: "Modeling of gravity data and its geodynamic meaning." The dissertation focused on modelling of gravity data along a cross-section running from Corsica to the Adriatic Sea. Gravity modelling was performed on the basis of the geological constraints recovered from literature.
  • 2001-2004:  PhD. in "Geology and Evolution of the Lithosphere", Dipartimento di Scienze della Terra, Università degli Studi "G. D'Annunzio" of Chieti, Via dei Vestini, 66100, Chieti, Italy. During the three-year PhD a methodology capable of evaluating and quantifying the mechanical state of the lithosphere in the Mediterranean area has been developed, inverting gravity, topography, heat flux measures, rheological and seismic data. The analysis was carried out through the development of programs written in Fortran77 and Matlab. PhD. dissertation: "Mechanical Behaviour of the lithosphere in the Mediterranean", Advisors: Prof. G. Lavecchia, Prof. T. Lowry, Prof. I. Marson, Dott. F. Coren.


  • Development of algorithms, written in Python and MATLAB, focused on the tridimensional visualization, numeric analysis, features extraction and management of remote sensing data recorded by laser (LIDAR, LYNX), hyperspectral and thermal systems.
  • Explore the mechanical state of the lithosphere by inversion of gravity, topography, thermal (heat flux), rheological and seismic data.

  • Interpretation of geophysical data recorded along two transects in Wilkes Basin (Antarctica). Modelling of gravity data for the mechanical characterization of the upper portion of the earth's surface (up to 100 km depth) in the area of the Wilkes Basin (Antarctica).

  • Gravity inversion in the Gulf of Trieste using data measured on land and sea, comparison with the geological and structural setting on the zone.

Skills & Interests: 


  • Main languages: english and italian.
  • Very good programming skills in Python: GUI building; tridimensional visualization of cloud of points, surfaces; numerical analysis; optimization; use of C extensions; management of large volume of data. Good experience about packaging Python applications as standalone on both Windows and Linux 32 and 64 bit systems. Very good knowledge of the following Python packages:  wxPython, PyQt4/PySide, VTK,  Numpy, Scipy, GDAL, PyProj, Shapely, Cython, ConfigObj,  lxml, PyInstaller, Py2exe.

  • Good understanding of C and C++.

  • Good programming skills in MATLAB for numerical analysis and GUI building.

  • Good programming skills in FORTRAN77.

  • Sufficient programming skills in Shell, Bash, CShell Unix/Linux.

  • Very good knowledge of SVN (subversion).

  • Small knowledge of GIT.

  • Excellent knowledge of Windows and Linux (Ubuntu, Fedora) operating systems.

  • Excellent knowledge of Microsoft Office, LibreOffice, OpenOffice, CorelDraw, ArcGIS, QGIS.

Major projects: 


  • Main contractor for the “Management and processing of Laser Lynx Mobile Mapper system data” project, financed by SINECO SpA company.

  • Involved in the research project on Laser Lynx Mobile Mapper system financed by HELICA SRL company.

  • "Heliogs-Tiltan LIDAR Data Processing Cooperation" Project financed by the Ministry of Foreign Affairs in collaboration with the Tiltan company (Israel). The project focused on the development of a software (Tlid) capable of recognizing buildings and creating their tridimensional model (3d city model) from LIDAR remote sensing data. Algorithms developed in the OGS were transferred to the Israeli partner, tested and implemented in Tlid software.

  • European Project ENYGMA (Environmental, Hydrologic and Ground Management: Innovative solutions for the CADSES areas). Analysis of hyperspectral data in the area of Szeged (Czech Republic) for the classification of land. Data is used to define the hazard caused by flooding episodes that characterize the area.