Summary
Mohammad Fallah is a remote sensing specialist and teacher with nine years of experience combining academic research and applied software development. He holds a MSc in Remote Sensing from the University of Isfahan and a BSc in Geomatics, and has served as a research assistant on projects at national and university levels while teaching Matlab and image processing. His technical toolkit spans deep learning, machine vision, nighttime satellite imagery analysis, mapping, and Android programming—skills he applies to climate-change and mapping research as a freelancer. Mohammad has blended roles in academia and industry, from project development management to software programming, giving him a pragmatic approach to turning research into deployable tools. Based in Amol, Iran, he brings a strong interdisciplinary perspective that links geospatial science, AI, and mobile development to real-world environmental challenges.
9 years of coding experience
6 years of employment as a software developer
Bachelor of geomatics, Education and Research, Bachelor of geomatics, Education and Research at BNUT - Babol Noshirvani University of Technology
Master's degree, Remote sensing, Master's degree, Remote sensing at University of Isfahan