Ala Bahrami is a visiting scholar to the lab from Université de Sherbrooke, Québec. He has completed his bachelor degree in the field of Geomatics Engineering, from Tabriz University, Tabriz, Iran (2002-2006). He has done his master degree in the field of Remote Sensing from K.N. Toosi University of Technology, Tehran, Iran (2006-2009). Later on September 2014, he has started his Ph.D. studies in Université de Sherbrooke, Québec, Canada, in the field of Physics of Remote Sensing. His main areas of research includes: Earth remote sensing, Global modeling and data assimilation, GRACE satellite data analysis, Satellite-based remote sensing of snow, and Statistical data analysis. During his research study in the lab, he focuses on the assimilation of the Gravity Recovery and Climate Experiment (GRACE) derived terrestrial water storage (TWS) changes into MESH modeling system (Modélisation Environmentale Communautaire – Surface et Hydrologie) in order to improve snow water equivalent (SWE) estimation during snow accumulation season over the Canadian landmass.