Carmelo Bonannella
At OpenGeoHub, Carmelo supports OpenGeoHub’s data science projects such as GeoHarmonizer and MOOD H2020. Specific tasks include but are not limited to:
- Installing and maintaining software on local, server and cloud platforms,
- Developing and testing new algorithms and approaches to predictive mapping and machine learning,
- Optimizing computing/minimizing production costs,
- Creating complete data sets, packaged software and software manuals, including tutorials for other researchers,
- Contributing to Open Source Software and Open Data communities through FOSS4G, R, Python and similar communities.
Carmelo has a background in forestry science, with a specialization in forest resources monitoring and management using geospatial data science and time series analysis. At OpenGeoHub, Carmelo works as a researcher, focusing on designing and implementing studies from experimental setup to scientific visualization and communication. He processes and analyzes spatial and spatiotemporal data, applies statistical and machine learning methods, and contributes to training courses and educational materials. He is also actively involved in acquisition through research proposal writing and engages with stakeholders to translate scientific results into practical applications.
- Education
- Appointments
- PhD, Wageningen University & Research (Geo-information Science and Remote Sensing)
- MSc, University of Florence (Forest Systems Science and Technology)
- BSc, University "Mediterranea" of Reggio Calabria (Forest and Environmental Sciences)
- 2020–present: PhD candidate & research assistant at OpenGeoHub Foundation.