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Dr. Kheyrollah Pour is the Executive Director of the Cold Regions Research Centre and leads the Remote Sensing of Environmental Change (ReSEC) Research Group, which focuses on investigating complex environmental challenges in cold regions, particularly lake ice dynamics, driven by increasing pressures on land and water resources and the accelerating impacts of climate change. Her work contributes to a more comprehensive understanding of climate change impacts on freshwater systems and ice roads to support the development of effective adaptation strategies.
Homa is committed to working in partnership with Indigenous communities and advocates for the co-creation of knowledge by integrating scientific research with Indigenous and traditional knowledge systems. She promotes inclusive and culturally relevant research practices that serve both academic and community needs. As Indigenous Liaison of the Knowledge Co-Production Working Group for NASA’s Arctic-COLORS initiative, she contributed to the development of its implementation plan, an example of how collaborative approaches can shape large-scale research programs. She also leads several projects in the Northwest Territories, addressing freshwater issues in close collaboration with Indigenous partners.
She has been involved with the Canadian Science Policy Centre and serves on its Board of Directors. She is a strong advocate for integrating science into public policy and contributes to the organizing committee of Science Meets Parliament in Canada, an initiative that connects researchers with policymakers to promote evidence-informed decision-making. She also serves as an Associate Editor for The Cryosphere journal. Her research has been widely published in international scientific journals and government reports, including the Arctic Report Card. She holds a PhD and MSc in Physical Geography and Geomatics from the University of Waterloo, Canada.
My research will support the emerging spectrum of environmental issues throughout the cold region, applying remote sensing methods and mathematical modeling. I study the response of cold region hydrology related to changing the climate, such as lake ice, snow cover, land cover incorporate satellite observations of surface and subsurface processes in mesoscale numerical models. My current areas of interest include the development of statistical modeling and machine learning of the relationship between ice extent, environmental drivers, and water quality, the response of lakes to contemporary and projected climate conditions.
The research program will focus on the following themes:
I am recruiting highly qualified undergraduate thesis, MSc, and PhD students in fields of remote sensing and modeling in cold region hydrology. Students who have northern research experience, have expertise in UAS and orbital remote sensing analysis, model development and machine learning techniques apply here.