Stenka Vulova

M.Sc. Stenka Vulova is a Scientific Associate at the Technical University of Berlin's Department of Geoinformation, specializing in environmental planning through geoinformation processing. Her doctoral work focuses on the DFG Research Training Group 'Urban Water Interfaces' (UWI). She holds an International Master in Applied Ecology (IMAE) from the University of Poitiers and University of Kiel, and a B.S. in Ecology and Anthropology (Summa Cum Laude) from the University of Georgia.

Research Interests: Machine learning/deep learning, remote sensing applications (climatology/hydrology), urban remote sensing, vegetation dynamics, heat/vapor flux analysis, and crowdsourced geographic information. Her work bridges AI techniques with environmental challenges, particularly wildfire prediction, drought impact analysis, and urban climate resilience.

Publications: Over 15 peer-reviewed articles since 2020, focusing on wildfire drivers, urban evapotranspiration modeling, and environmental justice in cooling services. Key journals include Ecological Indicators, Science of the Total Environment, and Remote Sensing of Environment.

Grants & Collaborations: Involved in DFG-funded projects (e.g., 'Food Deserts', 'Urban Water Interfaces'), and collaborations with the Earth Observation and Modeling (EOM) Laboratory. Her research emphasizes open data and reproducible methods.

Professional Experience: Prior roles include Student Research Assistant at the University of Kiel, Environmental Analyst at Adrian Collaborative, and internships at the Georgia Department of Defense and Sustainable Human Ecosystems Laboratory (SHEL). Currently based at TU Berlin's Geoinformation lab (Room EB 234).