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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, image processing, computational harmonic analysis and Earth big-data analytics for better understanding the impacts of climate change on 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 hydrologic water cycle through modern data science approaches and provide solutions for sustainable developments across water and food systems. 

News

November 2022, We released MATLAB codes for passive microwave remote sensing of soil moisture below snowpack in L-band for our recent paper published in IEEE and a set of Python codes for passive microwave remote sensing of precipitation using a new deep learning architecture that relies on data from GPM and CloudSat satellites. 

November 2021, Ardeshir Ebtehaj received funding from the NASA's Precipitation Measurement Mission (PMM) Science Team to advance the knowledge in prediction and nowcasting of mesoscale convective precipitation through data assimilation, theories of optimal mass transport, machine learning and artificial intelligence.

November 2021, HydSens received funding from the office of vice president for research (OVPR) to purchase a spectroradiometer for advancing the science of environmental remote sensing.

Aug 2020, Ardeshir Ebtehaj's proposal to the Legislative

Citizen Commission on Minnesota Resources (LCCMR) is selected for funding to advance the knowledge and develop technologies for remote sensing of microplastics in surface waters.