Amir Hassanzadeh

I am a Research Professor at RIT, working at the intersection of remote sensing, machine learning, computer vision, and physics-based simulation. I find joy in working with satellite and UAV sensors, from multispectral and hyperspectral imagers to LiDAR and thermal instruments. I am passionate about making a meaningful impact, both by supporting others through mentoring and leadership and by contributing to research that benefits our planet.

My current research spans self-supervised hyperspectral representation learning, Landsat surface-temperature retrieval and uncertainty, and large-scale DIRSIG scene construction, among other areas.

I earned my Ph.D. in Imaging Science at RIT in 2022. My doctoral work connected greenhouse spectroscopy with field-scale UAV observations for crop-yield prediction and harvest-maturity assessment. I currently teach Applications of Machine Learning in Remote Sensing and advise graduate and undergraduate researchers.