JD

Jaydeo K Dharpure

Texas A&M Agrilife, Byrd Polar and Climate Research Center, Dr. B. R. Ambedkar National Institute of Technology Jalandhar

Research areas: Earth and Planetary Sciences · Atmospheric Science · Cryospheric studies and observations · Geophysics and Gravity Measurements · Geology and Paleoclimatology Research

ORCID iD 0000-0001-5660-5445
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About

Dr. Dharpure is currently working as a Postdoctoral Research Associate at Texas A&M AgriLife, Temple, Texas. Previously, he served as a Postdoctoral Research Scholar at the Byrd Polar and Climate Research Center, The Ohio State University. He has over ten years of experience in geospatial technology and its applications. His research focuses on hydro-climatic data assimilation, gravimetric-based water storage change, and deep learning.

From 2013 to 2018, he worked at several esteemed research organizations, including the Punjab Remote Sensing Centre (Ludhiana), the Defence Geoinformatics Research Establishment (DGRE, Chandigarh), and the National Institute of Hydrology (NIH, Roorkee). During this period, he contributed to diverse projects in roles ranging from Junior Research Fellow (JRF) to Research Associate (RA). Dr. Dharpure earned his Ph.D. in glacio-hydrology using remote sensing from the Indian Institute of Technology, Roorkee, in 2022.

He also served as a Young Professional at the Department of Science and Technology (DST), New Delhi, where he contributed to the formulation of national geospatial policies. From August 2022 to May 2023, he taught Python programming, machine learning, statistics, and geospatial data analysis at National Institute of Technology (NIT) Jalandhar, India.

In 2019, he received travel grants twice from the UK government to present his research at the University of Warwick and Northumbria University. Dr. Dharpure has attended numerous workshops to enhance his expertise in glaciology, water resource management, Python programming, and GeoAI.

He has published 22 research papers and one book chapter in peer-reviewed journals (SCI and Scopus indexed), with several others currently under review. His primary research interests include geospatial data science, big data analysis, hydrology, cryospheric studies, deep learning, and predictive modeling.

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