Electrical and Computer Engineering

Technology could enable surgical robots and space rovers to analyze samples instantly, making intelligent sensing faster and more affordable.

Micron-scale “metajets” reveal a scalable approach to optical propulsion, using metasurfaces to control motion with light in multiple directions.

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

The geomagnetic disturbances behind the northern lights can also hurt communication and power systems, but Texas A&M researchers are studying ways to mitigate their impact.

Texas A&M Engineering and the Texas A&M Semiconductor Institute will soon launch multiple programs and initiatives to bolster the semiconductor industry.

Researchers are combining big data and machine learning to predict outages and help consumers prepare for loss of power.

Texas A&M researchers are co-leading a $20 million project to develop a $1 cancer treatment.

Texas A&M engineers are using machine learning to help automate the ship-landing process by mimicking a helicopter pilot’s behavior.

Engineering professor Joshua Peeples is working with faculty from the College of Agriculture and Life Sciences to process data from the state-of-the-art Plant Growth and Phenotyping Facility.

A new research project will explore the unprecedented tools and processes now available through machine learning.