Electrical and Computer Engineering

Drs. Linda Katehi and Jian Tao are developing digital twin technology to create customizable, AI-powered sensor systems that can be built faster, more affordably and with better performance.

Texas A&M researchers received a grant from the U.S. Army Research Laboratory to address the limitations of applying artificial intelligence tools in military scenarios.

Dr. Yang Shen is using machine learning and artificial intelligence to understand disease mechanisms and facilitate therapeutics.

Researchers at Texas A&M University collaborated with industry to develop a new technique to improve efficiency and performance in computer processors.

Researchers plan to develop flexible, neuron-like nano-devices to add energy-efficient artificial intelligence to energy-hungry applications such as battery-powered miniature drones.

Dr. Jonathan Snodgrass and a team of researchers are looking into how the power grid can be affected by electrifying passenger cars.

New technology could lead to faster, more accurate testing to accelerate developments in health care and the biotechnology industry.

Engineers have spent over 30 years studying ways to monitor electric power lines for faults and failures to correct those conditions before an outage or fire occurs.

A team of researchers are looking into how the power grid can be affected by a rise in electrifying heavy-duty vehicles.

Dr. Hamid Toliyat, Mehdi Seyedi and Dorsa Talebi are developing an eco-friendly, efficient and cost-effective rare earth free motor to bring to market.