Assoc.Prof.Dr. Daniela Faur
Daniela FAUR (F) received the M.S. and Ph.D. degree in Electrical Engineering from the Politehnica University of Bucharest -UPB, in 2002 and 2006. Since 2007 she has been holding a professorship in Information Theory with the Department of Applied Electronics and Information Engineering, UPB. She is involved in national and European research grants in the field of EO data processing and visualization targeting applications in agriculture, disaster and humanitarian crisis management and biodiversity monitoring. In 2012, she performed an internship as a visiting fellow with the Remote Sensing Technology Institute (IMF) of DLR (German Aerospace Center), in Oberpfaffenhofen, Germany.
She acted as project manager of GEODIM - PNCDII - Platform for Geo-Information in Support of Disaster Management, LEOSITS -STAR–ROSA - Long Term Data Exploitation for Satellite Image Time Series - Extraction of Classes for Scene Dynamic and VATEO-PNCDI III - Visual Analytics Tool for Earth Observation Images and recently as a Principal Investigator for eVADE-ESA ITT - Interactive Visual Analysis Tool for Earth Observation Data.
She serves as Europe Principal Investigator in the frame of ESA NASSC Dragon 5 Cooperation, coordinating the project Large-scale spatial-temporal analysis for dense satellite image series with deep learning (2020-2024). Currently she leads, as UPB representative, two H2020 projects, SPACE-END: ENDEAVOUR Space HUB (2019-2021) and CENTURION: COPERNICUS datacube / AI data cube services for society, industry and new Market generation H2020-SPACE-2018-2021 (2021-2024).
She is member of the IEEE Geoscience and Remote Sensing Society.
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