Texas A&M University researchers have developed a way to make medical protective gear from readily available materials to construct desperately needed personal protection masks for medical personnel who have seen a depletion of resources as the number of COVID-19 cases increases.
Levi McClenny, a Blackhawk pilot in the United States Army Reserves and a doctoral candidate in the Department of Electrical and Computer Engineering at Texas A&M University, is training artificial intelligence to accurately predict which manmade materials are more likely to develop cracks or break over time.
To rapidly identify different bacteria that exist in a given sample, Dr. Arum Han, professor in the Department of Electrical and Computer Engineering, is developing a microfluidic device, a type of microchip, that can classify microorganisms as safe or unsafe within a span of minutes.
Distribution Fault Anticipation technology is a one-of-a-kind hardware and software system that can diagnose problems on utility lines before outages darken neighborhoods or power failures spark wildfires. It continuously monitors currents and applies its algorithms to detect and report abnormalities for investigation and repair.
