PhD, Biological Systems Engineering
Hamid brings advanced expertise in various applications of digital agriculture, including high throughput phenotyping, yield mapping, plant nitrogen status assessment and more. He utilizes his expensive experience with aerial data collection tools and new sensors to gather multispectral, hyperspectral and lidar data from crops and soil conditions. Analysis of these data help growers make informed decisions about their practices, and his passion for the optimization of all aspects of crop production makes him a leader in his field.
Hamid completed his undergraduate and masters in the Mechanical Engineering of Agricultural Machinery at the University of Tehran in Iran, where students ranked him first among sixteen professors and lecturers in his department in 2016. He is passionate about innovation, having recently helped found Kobin, a data analytics startup out of his UC Davis lab, and is excited to further his entrepreneurial pursuits and learn from industry professionals.