Affiliations
Education Profile
- Associate Professional Specialist, Princeton University, Civil and Environmental Engineering
- Post-doctoral Fellow, UCLA, Geography
- Post-doctoral Fellow, Princeton University, Civil and Environmental Engineering
- Ph.D., University of Waterloo, Civil Engineering
- M.Sc., University of Manitoba, Biosystems Engineering
- B.Sc., University of Tehran, Agricultural and Irrigation Engineering
Research Interests
I am a statistical data scientist and remote-sensing hydrologist with over a decade of expertise in hydrology, global water cycle variability, satellite measurements, and big data analysis. My research includes advanced stochastic analysis of drought, soil moisture, and socio-economic data.
My current interests lie in finding practical solutions to water and food security under climate change, on both regional and global scales. I use novel approaches in data science, AI, stochastic analysis of big data, applied remote sensing, programming, and tools such as Google Earth Engine. I look at the availability of water and its movement on Earth to inform stakeholders, farmers, and policymakers. Additionally, I focus on adaptation strategies and nature-based solutions for PEI, such as sustainable infrastructure design, toward achieving net zero.
Selected Publications
- L. Xu, D. Ferris, X. Huggins, J. S. Wong, Ch. Mohan, S. Sadri, H. A. Chandanpurkar, P. Sanyal, J. S. Famiglietti (2023) From Coarse Resolution to Practical Solution: GRACE as a Science Communication and Policymaking Tool for Sustainable Groundwater Management. J. Hydrology, 129845
- S. Sadri, J. S. Famiglietti, M. Pan, H. Beck, A. A. Berg, E. F. Wood (2022) FarmCan: a Physical, Statistical, and Machine Learning Model to Forecast Crop Water Deficit for Farms. HESS: Hydrology and Earth System Sciences, 26(20), 5373–5390
- Sh. Wang, D. Mondal, S. Sadri, Ch. K. Roy, J. S. Famiglietti, K. A. Schneider (2022) SET-STAT-MAP: Extending Parallel Sets for Visualizing Mixed Data. IEEE 15th Pacific Visualization Symposium (PacificVis), 151–160
- N. Vergopolan, N. W. Chaney, M. Pan, J. Sheffield, H. Beck, C. Ferguson, L. Torres-Rojas, S. Sadri, E. F. Wood (2021) Satellite-based Soil Moisture at 30-m Resolution Reveals the Drivers of Spatial Variability Across the U.S. Nature Scientific Data, 8(264)
- S. Sadri, M. Pan, Y. Wada, N. Vergopolan, J. Sheffield, J. S. Famiglietti, Y. Kerr, E. F. Wood (2020) A Global Near-Real-Time Soil Moisture Index Monitor for Food Security Using Integrated SMOS and SMAP. Remote Sensing of Environment, 246, 111864
- S. Sadri, M. Pan, E. F. Wood (2018) Developing a Drought Monitoring Index for the Contiguous U.S. Using SMAP. HESS: Hydrology and Earth System Sciences, 22(12), 6611–6626
- S. Sadri, J. Kam, J. Sheffield (2016) Nonstationarity of Low Flows and Their Timing in the Eastern United States. HESS: Hydrology and Earth System Sciences, 20(20), 633–649
- J. Sheffield, E. F. Wood, N. Chaney, K. Guan, S. Sadri, X. Yuan, L. Olang, A. Amani, A. Ali, S. Demuth, L. Ogallo (2014) A Drought Monitoring and Forecasting System for Sub-Saharan African Water Resources and Food Security. Bull. Amer. Meteor. Soc., Vol. 95(6), 861–882