Tag Artificial Intelligence


CIROH Visiting Scholar Advances Natural Water Hazard Forecasting and Management

Dr. Sayed Bateni has spent his professional career researching and learning about natural hazards, terrestrial remote sensing, machine learning, data assimilation and coupled land-atmosphere systems behavior. He received his Bachelor of Science in civil and environmental engineering from Isfahan University of Technology in 2002, Master of Science from Sharif University of Technology in 2005 and…


Hydrologic AI Forecasting Program Equips Undergraduates with Essential Water Research Skills

The Research Experience for Undergraduates, or REU, is an undergraduate program focusing on artificial intelligence for hydrologic forecasting. Students learn to apply data science and computer programming skills to research new computational tools for forecasting floods, droughts and water quality. The students in the program can learn from some of the best researchers that the…


AWI Staff, Affiliates Attend Annual American Geophysical Union Meeting

Members of the Alabama Water Institute wrapped up 2023 by attending the annual American Geophysical Union meeting in San Francisco. Every year, the AGU hosts thousands of attendees from more than 100 countries to share research and network. These meetings aim to help researchers, scientists, educators, students, policymakers, exhibitors, journalists and communicators better understand our…


AWI Researcher Develops New Snow Model Machine Learning Tutorial

The creation of a new machine learning tutorial based on a national snow model from researchers at The University of Alabama and the University of Utah has been funded by a grant from the Earth Science Information Partners. Dr. Ryan Johnson, an artificial intelligence research scientist at the Alabama Water Institute, and his collaborator, Dane Liljestrand,…


AWI Spotlight: Dr. Ryan Johnson

The Alabama Water Institute recently welcomed Dr. Ryan Johnson as a postdoctoral researcher. Johnson earned his Ph.D. in civil and environmental engineering from the University of Utah. His dissertation research took advantage of artificial intelligence and machine learning to improve snowpack-dependent urban water systems’ resilience, reliability and vulnerability in a changing climate. “This ongoing work…


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