Expertise
- Hydrologic and land surface modeling
- Data assimilation
- Water resources management
Education
- Ph.D. Environmental Engineering, George Mason University, Fairfax, VA, 2021
- M.S. Civil, Environmental, and Infrastructure Engineering, George Mason University, Fairfax, VA, 2018
- B.S. Water Resources Engineering, Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh, 2014
Professional Summary:
Dr. Azbina Rahman is a postdoctoral associate at the Department of Environmental Science and Technology. Her research interest focuses on hydrologic and land surface modeling, data assimilation, and water resources management. She received her Ph.D. in environmental engineering from George Mason University.
Professional Work:
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Postdoctoral Associate, Department of Environmental Science and Technology, University of Maryland, College Park, MD, USA; June 2022-Present
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Postdoctoral Fellow, Department of Civil, Environmental, and Infrastructure Engineering, George Mason University, VA, USA; September 2021- June 2022
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Graduate Research Assistant, Department of Civil, Environmental, and Infrastructure Engineering, George Mason University, VA, USA; August 2017-July 2021
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Summer Institute Fellow, National Water Center, Tuscaloosa, AL, USA; June 2018-July 2018
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Graduate Teaching Assistant, Department of Civil, Environmental, and Infrastructure Engineering, George Mason University, VA, USA; August 2016-August 2017
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Junior Consultant, Center of Environmental and Geographic Information Services, Dhaka, Bangladesh; March 2016-June 2016
Awards & Honors:
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Doctoral Research Scholar Award, Spring 2021 by George Mason University’s Provost Office.
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Academic Career Cohort Course Award, AY 2020- 2021 by George Mason University’s Provost Office.
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Best Poster Award at 3rd Annual Energy Symposium, 2018, Fairfax, VA.
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Consortium of Universities for the Advancement of Hydrologic Science Summer Institute Fellowship, 2019, Tuscaloosa, AL.
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Outstanding contribution to reviewing awarded by the Journal of Hydrology, Elsevier, 2017.
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Reviewer: Journal of Hydrology: Elsevier, IGARSS, and Journal of Geosciences and Environment Protection (GEP).
Publications:
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Rahman, A., Maggioni, V., Zhang, X., Houser, P., Sauer, T., Mocko, D, (2022) “The impact of jointly assimilating remotely sensed leaf area index and surface soil moisture into a land surface model on water, carbon, and energy variables”; Special Issue: Satellite Remote Sensing for Water Cycle Studies, Volume 14, Issue 3. https://doi.org/10.3390/rs14030437
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Rahman, A., Zhang, X., Houser, P., Sauer, T., and Maggioni, V. (2022). “Global Assimilation of Remotely Sensed Leaf Area Index: The Impact of Updating More State Variables Within a Land Surface Model”; Frontiers in water, Volume 3. https://doi.org/10.3389/frwa.2021.789352
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Rahman, A., Zhang, X., Xue, Y., Houser, P., Sauer, T., Kumar, S., Mocko, D, Maggioni, V. (2020) “A synthetic experiment to investigate the potential of assimilating LAI through direct insertion in a land surface model”; Journal of Hydrology X, Volume 9. https://doi.org/10.1016/j.hydroa.2020.100063
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Zhang, X., Maggioni, V., Rahman, A., Houser, P., Xue, Y., Sauer, T., Kumar, S., Mocko, D. (2020). “The influence of assimilating leaf area index in a land surface model on global water fluxes and storages”; Hydrology and Earth System Sciences, 24, no. 7 (2020): 3775-3788. https://doi.org/10.5194/hess-24-3775-2020
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Brackins, J., Moragoda, N., Rahman, A., Cohen, S., & Lowry, S. (2020). “The Role of Realistic Channel Geometry Representation in Hydrological Model Predictions”; JAWRA: Journal of the American Water Resources Association. https://doi.org/10.1111/1752-1688.12865
