Dr. Moghimi is an assistant professor of teaching in remote sensing and AI applications for precision and digital agriculture. He received his Ph.D. in Biosystems Engineering with a Ph.D. minor in Computer Science from the University of Minnesota.
Dr. Moghimi is passionate about teaching and conducting interdisciplinary research centered at the food-water-energy nexus. He teaches ABT 060, "Introduction to Unmanned Aerial Systems for Agriculture & Environmental Science." His current research focuses on applying innovative technologies (LiDAR and multispectral/hyperspectral imaging), automation (UAVs), and artificial intelligence (machine learning and deep learning algorithms) in agriculture to facilitate the digital revolution in agriculture.