Mohammad Fereshtehpour is a Climate Change Analyst at the Northern Forestry Centre, Natural Resources Canada. His work builds on a strong academic background developed through previous postdoctoral research at the HydroClimEx Lab, University of Western Ontario and Vadose Lab, York University. His work sits at the intersection of hydrotechnical engineering, climate change adaptation, and risk-based decision-making.
He has extensive experience working with large hydroclimatic datasets, including ERA5 reanalysis and large ensemble climate model outputs, and routinely applies advanced spatial and temporal analysis techniques using R on high-performance computing platforms such as Compute Canada. His work emphasizes translating complex climate information into actionable insights for infrastructure planning, flood insurance, and climate-resilient design.
He earned his Ph.D. in Water Resources Management from the University of Tehran (2013-2018), where his doctoral research focused on nonstationary flood risk analysis in coastal urban areas, with a case study in Lower Manhattan, New York City. During his Ph.D., he spent approximately one year as a visiting researcher at the University of Utah, USA (2017), broadening his expertise in hydrology, climate science, and geospatial analysis. Following the completion of his doctorate, he embarked on a multifaceted academic adventure, diving headfirst into both research as a postdoc at the Institute of Water and Environment, University of Ferdowsi, and teaching as an adjunct and part-time assistant professor in three universities back in Mashhad, Iran (Ferdowsi, Azad, and Toos Universities).
Mohammad has been deeply involved in applied and policy-relevant research, including projects commissioned by government and municipal partners on stormwater management, climate change impacts, and compound flood hazards in Canada. He has served as the lead author on major technical reports and is experienced in translating scientific findings into guidance for practitioners and decision-makers.
I'm a firm believer in the power of interdisciplinary research and pushing the boundaries of conventional thinking.
Land surface-atmospheric interactions in regional and global climate change
Future projection of extreme multivariate hydroclimatic events within risk-based frameworks
Interdisciplinary approaches that combine environmental studies, geomatics, and machine learning to address complex environmental challenges.
Application of big data analytics to address uncertainty in climate projections, specifically focusing on the role of natural climate variability vs. anthropogenic forcing.
Effectiveness of mitigation and adaptation strategies considering socioeconomic and risk management tools
Sustainability in engineering design
Decision-support tools for climate-resilient communities.