Masoud Ghahremanloo
About
Dr. Masoud Ghahremanloo, a postdoctoral research fellow, commenced his tenure with the EarthAI program at the Center for Astrophysics | Harvard & Smithsonian in October 2024. His research utilizes cutting-edge artificial intelligence (AI) techniques to improve the functionality and accuracy of TEMPO satellite instrument, simultaneously deepening our understanding of Earth's atmosphere. Dr. Ghahremanloo earned his M.Sc. in Geomatics Engineering - Remote Sensing from the K. N. Toosi University of Technology in Tehran, Iran, followed by a Ph.D. in Atmospheric Sciences from the University of Houston. A prolific contributor to the scientific community, Dr. Ghahremanloo has published numerous high-impact papers in top-tier journals across satellite remote sensing, AI, and atmospheric sciences. His expertise spans a diverse array of satellite instruments, such as TEMPO, GEMS, TROPOMI, MODIS, and the Landsat series, which he has adeptly applied across various research applications. He is highly skilled in advanced AI modeling and proficient in multiple programming languages, including Python and MATLAB. He, in collaboration with his colleagues, has recently developed one of the most accurate AI models in the field for extracting surface NO2 levels from satellite data across the contiguous United States. Dr. Ghahremanloo's research methodologies also incorporate the use of surface observational techniques and numerical modeling systems, significantly enhancing his contributions to scientific advancement.
PhD