DeepShah

  • (he/him)
  • Research Scientist

Deep Shah earned his Ph.D. in Civil and Environmental Engineering from Texas A&M University, under the guidance of Dr. Huilin Gao. His dissertation, 鈥淟everaging Satellite Remote Sensing for Understanding Global Reservoir-Based Droughts,鈥 highlights the critical need for global water reservoir datasets that are often not shared or accessible. His research focuses on developing a global, open-access, and operational reservoir product using satellite remote sensing and leveraging it to improve the understanding of reservoir droughts. His work focuses on identifying reservoirs that are at higher risk of water shortages, along with their natural and anthropogenic drivers. These insights are vital for improving water management policies and strengthening food and water security worldwide. Dr. Shah has recently received the UCOWR 2026 Outstanding Dissertation Award in Natural Science and Engineering. He also received a Distinguished Dissertation Award and the Distinguished Graduate Student Award for Excellence in Research, as well as third place in the Three Minute Thesis (3MT) competition at Texas A&M University. Deep鈥檚 master鈥檚 thesis, published in Water Resources Research (WRR), is one of the top-cited articles for 2021鈥2022.