Nina Krašovec is a research assistant at the Institute of Anthropological and Spatial Studies and a PhD student at the Geodesy at the Faculty of Civil Engineering and Geodesy, University of Ljubljana. Before that, she obtained a Master's degree in Geography in 2021. In her master thesis she focused on the automatic detection of standing dead trees using laser scanning during leaf-on and leaf-off season. During her Master's studies, she worked as a student on the SYSSIFOSS project (Synthetic structural remote sensing data for improved forest inventory models) at the Institute of Geography, University of Heidelberg, where she assisted with laser scanning data acquisition, data preparation and data analysis. After completing her degree, she joined the Central Institute of Mental Health in Mannheim as a researcher in an interdisciplinary project in collaboration with the Institute of Geography at the University of Heidelberg, where she investigated the impact of the urban environment on people's well-being and mental health. Her main focus was on the use of point clouds and the classification of the urban vegetation structure using unsupervised machine learning.

At the Department of Remote Sensing, she is working on road detection using machine learning and deep learning technologies.