Texas A&M civil engineering researchers are using a deep learning model to forecast the growth of COVID-19 cases.

A machine learning algorithm developed by Texas A&M researchers could quickly identify life-threatening situations through social media posts.

The supervisor of Texas A&M's urban resilience lab says that Hurricane Laura and ongoing wildfires are compounding the risks of the virus.

The contagion model can be used to forecast the spread and recession of floodwaters across road networks.

A grant from the National Science Foundation will fund the study of infectious disease outbreaks in urban areas.