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Sepideh Khajehei

Data Scientist, NASA Earth eXchange (NEX)

Contents

Affiliation: Bay Area Environmental Research Institute, NASA Earth eXchange (NEX)

Branch: Biospheric Science Branch (SGE)

Email: sepideh.khajehei@nasa.gov

Google Scholar: https://scholar.google.com/citations?user=0iPAk5ogDDoC&hl=en

Professional Biography

Dr. Sepideh Khajehei is a Data Scientist at NASA Earth eXchange (NEX), specialized in hydrology and climate science. She excels in data science and earth observation, using diverse data sources to model the impact of climate pattern shifts on the Earth’s land-surface system in a changing climate. With a strong background in statistical modeling and data visualizations, her research contributes significantly to our understanding of climate change effects and offers valuable insights for the scientific community.

Education

Ph.D., Civil and Environmental Engineering, September 2015-December 2018, Portland StateUniversity

M.Sc., Civil and Environmental Engineering, September 2013-June 2015, Portland State University

B.Sc., Civil Engineering, 2008-2012, Shiraz University, Iran

Experience

2023- Present: Data Scientist, NASA Ames Research Center

2022-2023: Lead Data Scientist, Climate Engine

2019-2022: Applied Scientist, Descartes Labs

2017-2019: Water Resources Engineer, Wood

2013-2017: Research Assistant, Portland State University

Current Project

2023:  Climate Resilience Information System (CRIS)

Publications

  • Duan, Y., Akula, S., Kumar, S., Lee, W., and Khajehei, S. (2023). “A Hybrid Physics–AI Model to Improve Hydrological Forecasts.” Artificial Intelligence for the Earth Systems, 2(1), e220023.https://doi.org/10.1175/AIES-D-22-0023.1
  • Khajehei, S., Ahmadalipour, A., Shao, W., and Moradkhani, H. (2020). “A Place-based Assessment  of Flash Flood Hazard and Vulnerability in the Contiguous United States.” Sci Rep 10, 448 (2020).  https://doi.org/10.1038/s41598-019-57349-z
  • Khajehei, S., Ahmadalipour, A., and Moradkhani, H. (2018) “An Effective Post-Processing of the  North American Multi-Model Ensemble (NMME) Precipitation Forecasts over the Continental US,”  Climate Dynamics. 
  • Khajehei, S., and Moradkhani, H. (2017). “Towards an improved ensemble precipitation forecast: A  probabilistic post-processing approach.” Journal of Hydrology, 546, 476-489. https://doi.org/ 10.1016/j.jhydrol.2017.01.026.