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Hydrologic Sciences and remote sensing

 

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Ardeshir Ebtehaj
Associate Professor
University of Minnesota
College of Science & Engineering
Department of Civil, Environmental and Geo-Engineering
Saint Anthony Falls Laboratory 
Tel: (612) 301-1483
Office: 378 (SAFL), 162 (CEGE)
e-mail: ebtehaj@umn.edu

GitHub: https://github.com/aebtehaj​
Curriculum Vitae: (PDF)
A short Bio ...

Research Areas

Physical and data-science hydrology, satellite hydrometeorology, microwave remote sensing, inverse problems, data assimilation, land-atmosphere interactions, precipitation, soil moisture, and snow processes.

 

Statistical learning, mathematical optimization, artificial intelligence and machine learning, and computational harmonic analysis for a better understanding of the impacts of climate change on the hydrologic water cycle.

Education

Postdoctoral Research, Georgia Institute of Technology

Ph.D., University of Minnesota, Water Resources and Hydrology

M.Sc., University of Minnesota, Mathematics

M.Sc., Iran University of Science and Tech., Environmental Engineering

M.Sc., Iran University of Science and Tech., Structural Engineering

B.Sc., Iran University of Science and Tech., Civil Engineering

Hydrologic sciences and remote Sensing (HydSens) laboratory is an academic team in the Saint Anthony Falls Laboratory (SAFL) at the University of Minnesota.

HydSens

The overarching goal is to uncover physical mechanisms describing the hydrologic water cycle through modern data science and machine learning approaches and provide solutions for sustainable developments across water and food systems. 

Aug 2024: We received funding from NASA's SMAP program to study Arctic lake ice phenology and methane ebullition flux using spaceborne L-band microwave radiometry. This is a collaborative project with the University of Alaska.

March 2024: Two sets of codes were released.

​- A softly supervised convolutional autoencoder for retrieval of landscape freeze-thaw cycle using microwave satellite data. 

- XGBoost for sub-grid detection of extreme convective precipitation features.

March 2024: Divya received an Outstanding Student Presentation Award (OSPA).​

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July 2024.  Ph.D. and Postdoc positions are available.  

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