Seyed Ali Ahmadi received his B.Sc. degree in the Faculty of Geodesy and Geomatics at K. N. Toosi University of Technology. Then, continued to M.Sc. at Remote Sensing in the same faculty and worked on image classification and segmentation techniques, machine learning algorithms, and LiDAR data processing. His thesis was focused on classifying hyperspectral and LiDAR data sets by combining spectral and spatial features in order to increase the classification accuracy. Right now, he is researching on his PhD thesis at K. N. Toosi University of Technology. His research interests include machine learning, deep learning, LiDAR data processing, hyperspectral image analysis, data fusion, image processing and computer vision techniques for remote sensing and Earth observation applications.