Position: Integrated researcher without doctoral degree

Academic background: PhD in Geography at the Institute of Geography and Territorial Planning of the University of Lisbon. Master in Geographic Information System (2014) and Degree in Geography (2012) both from the Institute of Geography and Territorial Planning of the University of Lisbon.

Research Group: MOPT

Email: claudiaviana@campus.ul.pt

Research interests: GIS packages; time-series; artificial intelligence; Big data; spatiotemporal analysis

ORCID: 0000-0001-6858-4522

Ciência Vitae: 0712-B263-3133

Biosketch

Cláudia M. Viana is a Geospatial Information Scientist and Geographer. PhD in Geography at the Institute of Geography and Territorial Planning of the University of Lisbon with a grant from the Portuguese Foundation for Science and Technology. Master in Geographic Information System (2014) and a Degree in Geography (2012) both from the Institute of Geography and Territorial Planning of the University of Lisbon. She is currently an Associate Researcher at Centre for Geographical Studies in the University of Lisbon, and member of the Modelling and Spatial Planning research group. Cláudia has authored and co-authored more than 10 scientific papers with over 100 citations. Her research areas and activities lie within modelling the spatiotemporal changes of agricultural land-use, as well as the spatial distribution over time of agricultural production. Along with university teaching, she has integrated or collaborated on multiple national and international research projects. She has also collaborated on the organization of scientific events. She was distinguished (2020) with an Honourable mention in view of the scientific activity in the area of Human Geography and Territorial Planning by the Centre for Geographical Studies in the University of Lisbon. Key research interests include GIS packages; computer programming languages; geospatial data; historical data; time-series; machine learning; artificial intelligence; Big data; remote sensing; computer-based modelling; spatial analysis; spatiotemporal analysis; GIS; mapping; change detection.