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✨ Hi there, I'm Cristina ✨ 👋

🔭 I am currently a PhD student with the Nottingham Geospatial Institute, University of Nottingham working on a thesis that aims at comparing and contrasting various traditional and physics AI offshore oil seep-detection algorithms performance on Synthetic Aperture Radar Earth Observation data.
Background in: Ocean Surface Processes, Petroleum Geoscience, Synthetic Aperture Radar, Earth Observaton Marine Products, Algorithm Development, Machine Learning and Deep Learning for Earth Observation

🔭 Separately, I hold a position as a Research Associate with the Rights Lab Beacon, University of Nottingham where I develop geospatial and Earth Observation based algorithms to detect patterns associated with modern slavery across the globe.
Background in: Geospatial and Earth Observation data analysis and mapping, Algorithm development, Product development, Geospatial Systems design, Machine Learning and Deep Learning for Geospatial Big Data

👯 My research interests include Earth Observation/Remote Sensing, Geographic Information Science (GIS), Big Data, Machine Learning/AI and cloud computing (e.g., AWS, Earth Engine, Planetary Computer) to study and build products covering the intersection between social and environmental global issues. I am particularily interested in how we can use these technologies for solving challenges in marginalised or underserved communities affected by current global challenges.

👯 I am very keen on all things open and the power of foss4g and I occasionally volunteer with OSGeo globally and in the UK and with geo-spatial.org in Romania. I'm also very happy to share and love helping people learn and apply geospatial data and tools.


Organizations that I'm currently actively involved with or support:


LinkedIn

ORCID


Cristina Vrinceanu's Projects

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