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Texas A&M University was named a key partner in a five-year project to reduce greenhouse gas emissions and was provided a $70 million grant from the U.S. Department of Energy for the research.

An aerial photo of a large hydroelectric dam and reservoir in Brazil.

Researchers used satellite data to estimate the storage variations of over 7,000 global reservoirs from 1999 to 2018.

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Dr. Suin Yi is working to develop a new computing system known as a memristor computer.

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Julia Gionet-Gonzales has received a fellowship from the National Consortium for Graduate Degrees for Minorities in Engineering and Science to work with the National Renewable Energy Laboratory.

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Dr. Amir Asadi is pioneering a groundbreaking approach to enhance multifunctionality and structural properties simultaneously.

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Dr. Jeyavijayan "JV" Rajendran plans to develop comprehensive cybersecurity for industrial-control systems found in power plants, gas pipelines, oil refineries and nuclear facilities as part of the Texas A&M University ASCEND program.

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Texas A&M University researchers aim to create a future where data science and artificial intelligence predict, prepare for and respond to natural hazards — from hurricanes to earthquakes — reducing their impact on communities.

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Savannah Rhodes and Wyatt Hursh received $50,000 from the National Science Foundation to conduct market research for their animal-health device, which uses biomarkers to identify sick animals.

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Dr. Mladen Kezunovic is leading a team of Texas A&M researchers as part of a larger consortium of experts to bridge the gap between smart grid, storage and renewable energy research and facilitate their subsequent adoption by utilities worldwide.

3D rendering of a neuron cell network.

Dr. Shuiwang Ji is part of an international research project called BigNeuron, which is working to develop a standard framework for fast and accurate automatic neuron reconstruction.