Assistant Professor, University of Trento
Claudia Paris received the “Laurea” (B.S.), the “Laurea Specialistica” (M.S.) (summa cum laude) degrees in Telecommunication Engineering and the Ph.D. in Information and Communication Technology from the University of Trento, Italy, in 2010, 2012, 2016, respectively. She accomplished the Honors Master Program in Research within the Master Degree in Telecommunication Engineering in 2012. Since 2014 she is a teaching assistant at the Department of Information Engineering and Computer Science of the University of Trento, Italy. In 2014 she was a visiting PhD student at the Rochester Institute of Technology (RIT), Rochester, New York State, USA, working on the fusion of airborne and terrestrial LiDAR data. In 2016 she was a visiting Post-Doc at the Instituto Superior Técnico, Lisbon, Portugal, working on the superresolution of multiresolution multispectral remote sensing images. She is currently Assistant Professor at the Department of Information Engineering and Computer Science of the University of Trento, Italy. Her main research includes image processing and machine learning with applications to remote sensing image analysis. She conducts research on remote sensing single date and time series image classification, land cover map update and fusion of multisource remote sensing data for the estimation of biophysical parameters. She conducts research on these topics within the frameworks of national and international projects. Dr. Paris is a Scientific Committee Member of the 2020 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2020) and a Member of the Programme Committee of the SPIE International Symposium on Remote Sensing for the 2019 and 2020. She is a reviewer for many international journals, among them the IEEE Transactions on Geoscience and Remote Sensing, IEEE Journal of selected Topics in Applied Earth Observations, IEEE Geoscience and Remote Sensing Magazine and Remote Sensing and IEEE Geoscience and Remote Sensing Letters. Dr. Paris won the very prestigious Symposium Prize Paper Award (SPPA) at the 2016 International Symposium on Geoscience and Remote Sensing (Beijing, China, 2016) and at the 2017 International Symposium on Geoscience and Remote Sensing (Fort Worth, Texas, USA, 2017).
Claudia is speaking at
ExtremeEarth concentrates on Copernicus data, probably the most paradigmatic case of big open data in the European Union today, and arguably one of the most valuable for our planet . The extraction of knowledge and commercial value from Copernicus data is also of utmost importance for the European industry and society. ExtremeEarth addresses this issue explicitly through its two use cases that bring together the Food Security and Polar TEPs. Knowledge extraction is done through deep learning techniques that work at the extreme scale of data expected in Copernicus. ExtremeEarth also addresses the management of the information and knowledge extracted from Copernicus data using Semantic Web and Linked Data technologies. The implementation of these technologies in the European Hops data platform will enable the computation of extreme geospatial analytics on top of Copernicus information and knowledge.
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