Umair did a bachelors in Geoinformatics Engineering, where he learned basic skills related to remote sensing and programming languages. He served at the same school as a Lab Engineer after graduation while working with students in Lab and doing research activities with professors. After that, he completed his MS-Phd from Sungkyunkwan University, South Korea. His MS-Ph.D. research was related to Land Surface Modeling and remote sensing, where he worked on different versions (4.0 and 5.0) of Community Land Model (CLM) under the Community Earth System Modeling (CESM) Framework and various remote sensing datasets (MODIS, SMAP). The research during his Ph.D. was related to carbon, water, and energy cycle interactions using modeling, remote sensing, and flux tower observations. Land Surface Modeling (LSM) is his basic research interest with focus on carbon, water, and energy cycle interactions.
His research work with NSERC PermafrostNet will address how permafrost presence and absence affects various environmental variables known to control forest growing season timing across the boreal biome of North America. He will look at how environmental variables control forest growing season timing in stands with and without permafrost through the lens of a state-of-the-art terrestrial biosphere model. He is working with Oliver Sonnentag (research supervisor) and two other collaborators: Joe R. Melton from Environment and Climate Change Canada (ECCC) and Trevor Lantz (University of Victoria).
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