
Civil and Environmental Engineering
Researchers To Examine Risk Of Flood-Induced Chemical Spills At Coastal Facilities
Dec 21, 2020 • 2 min. readThe Texas A&M College of Engineering's James Kaihatu joins a team that will study the vulnerability of petrochemical facilities in Galveston Bay and risks to nearby communities.
Salt-Tolerant Bacteria With An Appetite For Sludge Make Biodegradable Plastics
Dec 14, 2020 • 4 min. readUsing a bacterial strain found in mangroves, Texas A&M researchers have uncovered a low-cost, sustainable method for producing bioplastics from sewage sludge and wastewater.
Researcher Developing Novel System For Nuclear Waste Repositories
Nov 10, 2020 • 2 min. readA Texas A&M professor, in collaboration with the University of Nebraska-Lincoln, received a Department of Energy grant to develop a system in engineered barriers to isolate and contain nuclear fuel waste.
Water-Energy Nanogrid Provides Solution For Rural Communities Lacking Basic Amenities
Nov 4, 2020 • 4 min. readResearchers at Texas A&M developed a purification system that uses energy from solar panels to decontaminate water.
Bridges With Limb-Inspired Architecture Could Withstand Earthquakes, Cut Repair Costs
Oct 29, 2020 • 4 min. readTexas A&M researchers are part of a team studying a promising column design strategy.
A Texas A&M student entrepreneurship team is designing tools to help clinicians diagnose diabetes-induced vision loss in individuals in rural or underserved communities.
Researchers Develop Framework To Identify Health Impacts Of Self-Driving Vehicles
Oct 13, 2020 • 4 min. readThey identified 32 transportation-related risk factors that affect health.
Research May Curb Economic Losses To Power Plants After Earthquakes
Oct 1, 2020 • 3 min. readTexas A&M researchers have shown that electrical transformer bushing systems reinforced with steel are more resistant to damage.
Harnessing Big Data And Artificial Intelligence To Predict Pandemic Spread
Sep 24, 2020 • 4 min. readTexas 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.