Research

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.

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.

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.

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.

A multidisciplinary team of Texas A&M University researchers from three departments are working to advance the performance of thermal energy storage systems.

Dr. Nate Veldt and his team have developed a mathematical framework using hypergraphs to measure and define homophily in social group interactions.

Texas A&M University, The Ohio State University and Idaho National Laboratory researchers are using fiber optics to develop and demonstrate gamma thermometers that are capable of high-resolution power measurements that provide more accuracy at lower costs.

Dr. Robin Murphy will lead efforts to innovate and transfer advances in artificial intelligence for disaster management.

Victor Vogt and Haley Jones earned entrance to the National Science Foundation Graduate Research Fellowship Program, where they will receive compensation for upcoming research projects.

Dr. Chao Tian and Dr. Ruida Zhou are developing balanced and comprehensive understandings of the tradeoffs between general information retrieval systems constraints.