Principal Investigator: Jeeban Panthi, PhD
Assistant Professor of Hydrogeology, Kansas State University Department of Geology

I am a groundwater hydrologist working at Kansas State University, where my research focuses on understanding and managing water resources in agricultural and climate-sensitive landscapes. My work integrates numerical modeling, field observations, and satellite remote sensing to investigate the complex interactions between surface water and groundwater systems. I am particularly interested in simulating flow and contaminant transport in the Ogallala Aquifer and other key water bodies across Kansas. My research aims to develop decision-support tools that address critical challenges such as groundwater depletion, nitrate contamination, and the impacts of land use and climate variability. By coupling process-based hydrologic models with high-resolution Earth observation data, I strive to improve predictions of water availability and quality at both local and regional scales. I collaborate with interdisciplinary teams to ensure that science informs sustainable water management, policy development, and agricultural resilience in the central United States and beyond.
Please read this article to know more about my Water Journey.
My research and publication sites
ResearchGate GitHub ORCiD Google Scholar
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Lab Members
Musabbir Turjo, Working towards MS in Water Resources Engineering

Musabbir Turjo is a MS candidate in Civil Engineering department at Kansas State University. He received his bachelor’s from the Department of Water Resources Engineering, Bangladesh University of Engineering and Technology (BUET). He was involved in research work from his undergrad during which he developed several hydrological models for rivers in Bangladesh, worked with remote sensing and climate change impacts on hydro-meteorological variability across river basins. His research interests are a blend of numerical modeling, surface-groundwater interactions and remote sensing. He is deeply passionate about harnessing the power of data-driven methodologies to find sustainable and innovative solutions in the fields of water resource engineering which could be beneficial to the science community.
Govinda Khanal, Research Volunteer (Data Analytics)
Govinda Khanal is a research volunteer studying the spatial and temporal dynamics of groundwater pumping in Kansas. He is analyzing data from more than 10,000 pumping wells spanning over 50 years, focusing on trend analysis and key predictor variables that influence groundwater use. By integrating data analysis and mapping techniques, his work helps uncover long-term patterns of pumping and their links to climatic and environmental factors, supporting efforts toward sustainable groundwater management in the region.
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This could be you! Reach out to Dr. Panthi if your research interest matches with our groups interest.
Postdocs: We do not have funding for postdocs currently, however if you are interested in writing your own proposal to work with our team, reach out to Dr. Panthi.