Omid Ghorbanzadeh received a B.Sc. degree in pure mathematics, focusing on topology and differential equations, from the University of Shahid Madani, Tabriz, Iran, in 2011. He received a master’s degree from the University of Tabriz for remote sensing and geographic information systems (RS & GIS), Tabriz, Iran, in 2016, working on the optimization of multi-criteria analysis and artificial neural networks by evaluating different techniques of interval calculations and fuzzy logic for the spatial problems. He is currently pursuing a Ph.D. in geoinformatics at the Z_GIS Department of Geoinformatics, University of Salzburg, Austria. His current project is the semantic segmentation of Earth observation data by integrating deep learning and, in particular, supervised deep convolutional neural network (CNN) with object-based image analysis (OBIA). His research interests include geoinformatics, high and very high-resolution remote sensing image classification, and deep learning. Mr. Ghorbanzadeh is the recipient of the best student paper award at the GISTAM 2019 Conference (Heraklion, Crete, Greece).