Mohammad Pashaei holds a B.S. degree in Civil Engineering-Surveying from Tehran Polytechnic University, Tehran, Iran (2005), and an M.S. degree in Photogrammetry from the University of Tehran, Tehran, Iran (2009).
In 2021, Dr. Pashaei received his Ph.D. in Geospatial Computer Science at Texas A&M University-Corpus Christi, TX, USA. Dr. Pashaei's research spans terrestrial and aerial mapping systems, focusing on photogrammetric and LiDAR remote sensing. He has experience in remote sensing (RS) techniques for mapping including traditional and close-range photogrammetry and UAS-based mapping techniques, sensor fusion, and geospatial data analysis using machine learning and deep learning frameworks. During his postdoctoral research role in the College of Science and Engineering at Texas A&M University-Corpus Christi, Dr. Pashaei concentrated on geospatial information retrieval from various spatial data, including full-waveform LiDAR data, UAS-SfM Photogrammetry, and UAS-LiDAR point clouds.
