A group of people giving a thumbs up with a sign in the background that says Center for Infrastructure Renewal.

Catherine “Katie” Jereza, assistant secretary of the U.S. Department of Energy Office of Electricity, toured Texas A&M University to meet with researchers and view the latest power engineering advancements.

Two men in yellow hard hats and safety vests stand together, pointing at a large power line at sunset.

As electricity demand surges, Texas A&M researchers are developing AI-powered technologies to help grid operators manage growing complexity and maintain a reliable power system.

Hurricane clouds above the Texas coast on a weather forecast.

Researchers from the Zachry Department of Civil and Environmental Engineering are working to improve community resilience against hurricanes, from preparation to recovery.

Vector illustration of an AI-powered drone scanning bridge support pillars for structural inspection, with digital screens showing AI analysis and bridge schematics.

The Amazon Research Award provides Arash Noshadravan with funding and resources to develop a reliable AI inspection platform that accelerates inspections of vital infrastructure.

A large industrial facility with two massive rows of cylindrical filtration units lining a central grated walkway.

A significant buildup of “forever chemical” concentrations on reverse osmosis filters used in desalination and advanced wastewater treatment highlights the need for proper handling, disposal and recycling.

Data servers with an orange light.

Texas A&M chemical engineering researchers have analyzed common causes of fires in data centers and identified ways to mitigate the growing risk.

A beach setting with palm trees being blown in the wind and the sky is overcast with an imminent storm.

With the help of a grant from the Office of Naval Research, Dr. Wencheng Jin of Texas A&M is developing AXBeach, a computer model that can predict real-time changes to shorelines during storms.

Two people sitting at a desk.

Researchers from the Urban Resilience AI Lab have created a deep learning framework to rate community resilience and risk based on interdependent factors.

A flooded road showing two signs half covered in water that read water over road and road closed.
Research

High waters meet high technology

Dec. 17, 2025 • 6 min. read

Civil and environmental engineering faculty and students at Texas A&M utilize cutting-edge advancements to combat fatal flooding and foster resilience in vulnerable communities.

Multiple wind turbines lined up in the ocean.

With offshore wind poised for massive growth, Texas A&M researchers develop a versatile anchor system that could solve the industry’s biggest logistical and financial challenge.