Texas A&M University researchers have collaborated to identify quarantine policies using subject-specific risk information to mitigate the spread of disease while also recognizing the potential for negative economic impact.
Using complex simulations, Texas A&M University researchers have shown that S-shaped-memory metal fillers inserted into the front edge of airplane wings can reduce noise generated during landing. These materials will automatically deploy into shape during descent, then recess back into the wing after landing.
Dr. Ali Erdemir is part of a multi-institutional research team working to turn plastic waste into useful liquid lubricants. The project is funded by the U.S. Department of Energy’s Plastics Innovation Challenge, an initiative designed to reduce plastic waste in oceans and landfills.
Researchers have mined location-based data to essential establishments during Hurricane Harvey to develop a framework for monitoring a community’s resilience after natural disasters.
Dr. Moo-Hyun Kim and his team of researchers are developing an ocean renewable energy station that combines wind, wave, current and solar energy methods on a floating offshore platform.
Dr. David Staack and Christopher Campbell are part of a team pioneering the use of ultrafast X-ray imaging to better understand the breakdown of plasma discharges in water, which could lead to advances in green energy production.
Dr. Isaac Adjei and his lab focus much of their research on treating late-stage cancer patients. To improve the efficacy of immunotherapies, the team uses nanoparticles to try and change the environment inside a tumor to give the immune cells the upper hand.
A team led by Dr. Qing Sun in the Artie McFerrin Department of Chemical Engineering has been awarded an X-Grant to develop a platform to rapidly prototype and test thermally stable and highly efficient mRNA vaccines, the same kind of vaccines used to treat COVID-19.
Researchers at Texas A&M University are using quantum theories to determine if it is possible to develop algorithms for semi-autonomous vehicles capable of interpreting situations by resembling the human decision-making process.
A research project led by Dr. Shoufeng Lan is seeking to develop a better, more cost-effective purification method for pharmaceuticals with the potential to deliver safer generics by utilizing electromagnetism at the atomic level.
The Texas A&M Engineering Experiment Station has received a proposed five-year, up to $24-million contract from the Army Research Laboratory to support autonomous vehicle research at the George H.W. Bush Combat Development Complex. The project will be led by Dr. Srikanth Saripalli and supported by Dr. James Hubbard Jr.