Dynamic Earth Simulation Laboratory

University of Alabama

Department of Geological Sciences

People

Jonathan M. Frame

Principal Investigator

Jonathan M. Frame

Google Scholar

Hi, I am Jonathan. I am Assistant Professor of Machine Learning and Artificial Intelligence in Geological Sciences and a Faculty Fellow of the Alabama Water Institute. I am putting together this research group to bring together deep scientific exploration of Earth's dynamic processes and the utility of simulating those processes for real-world applications and advancements.
I am both a scientist and an engineer. My scientific interests span many scales and many physical processes of Earth. I am particularly interested in what we can learn about the natural world by representing dynamic physical systems with models designed to simulate those processes. My engineering interests are focussed on water resources, particularly the design and life cycle of water resources infrastructure.

For more specific information on my background, please see my CV.

Suma Bhanu Battula

Post-Doctoral Scholar

Google Scholar

Tackling the big questions in Earth (and planetary) Sciences.


Adeyinka Olaseinde

PhD Student

Adeyinka

GitHub profile

My work focuses on the intersection of water resources, geospatial data, and artificial intelligence, particularly in the context of sustainable data center growth and AI infrastructure expansion. I am both a geoscientist and an applied researcher, with interests in hydrology, geochemistry, and geospatial Earth processes. I focus on modeling water availability and atmospheric dynamics, developing digital twins of regional water systems, and evaluating the impacts of water use, climate, and infrastructure. I am also certified to operate drones (sUAS) for aerial mapping, environmental monitoring, geospatial data acquisition, and remote sensing.


Evan Powers

PhD Student

Tackling the big questions in Earth (and planetary) Sciences.


Majid Hussain Shah

PhD Student

I am working on LSTM-based predictions of streamflow for the Next Generation Water Resources Modeling Framework Prototype . Specifically, I focus on efficient training methods for high temporal resolution (1-hour and sub-hourly) hydrologic forecasts.


Deon Fernando

Undergraduate Physics Student

deon

Deon is leading a paper on hydrologic extrapolation, bringing his physics background to advance machine learning approaches in Earth sciences.


Alumni

Jackson Laney

Undergraduate Research Assistant

Jackson worked on a toy experimet to develop machine learning capabilities for surface water terrain routing. See the Deep Routing Lab here: https://github.com/DualEarth/deep_routing_lab