Amirhossein Hassanzadeh
Researcher/Engineer II
Amirhossein Hassanzadeh
Researcher/Engineer II
Bio
Amirhossein Hassanzadeh is a Research Engineer in Chester F. Carlson’s Digital Imaging and Remote Sensing (DIRS) lab at Rochester Institute of Technology. He received his B.S. degree in Engineering from Guilan University in Rasht, Iran, in 2016 and a Ph.D. in Imaging Science from Rochester Institute of Technology in 2022. His research interests span across hyperspectral systems, Light Detection and Ranging (LiDAR), visible and thermal sensing, satellite and drone modalities, precision agriculture, and modeling. He is particularly passionate about bridging the gap between remote sensing and AI, aiming to amalgamate these fields for enhanced outcomes.
Currently Teaching:
Applications of Machine learning in Remote Sensing (IMGS 589/689): The course introduces key concepts in Machine Learning and remote sensing including: remote sensing systems, geographic coordinate systems, radiometry fundamentals, exploratory data analysis, geospatial tools such as Google Earth Engine, supervised and unsupervised machine learning and deep learning using via PyTorch. The concepts are all applied to real-world datasets to solve practical challenges, with a strong emphasis on hands-on assignments and labs that constitute a major portion of the final grade.