Research

Texas A&M biomedical engineering researchers have developed a treatment for chronic diabetic ulcers using lab-grown human cells to produce natural skin structures.

New machine learning tools from Texas A&M’s computer science and engineering department reveal when, where and how anglers fish — opening the door to smarter and more sustainable management.  

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.

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

Dr. Krishna Narayanan and fellow researchers at Texas A&M have developed Encando, an AI platform designed to empower professors and students in college classrooms.

Samsung Austin Semiconductor partnership supports Texas A&M College of Engineering’s goal of educating top talent to drive the future of the semiconductor industry.

Dr. Hatice Ceylan Koydemir of Texas A&M leads an international team developing an at-home device that could allow pregnant women to quickly screen for preeclampsia.

The Modeling, Engineering, Design and Analysis Laboratory (MEDAL), led by nuclear engineering professor Carlo Fiorina, investigates the use of computer simulations to solve a wide variety of problems in nuclear engineering.

Researchers are uncovering how nanoplastics and heavy metals interact in a controlled hydroponic model, revealing new insights to food safety.