Important Notice

COVID-19 guidance and testing locations

Electrical and Computer Engineering Grid

Our Degree Programs

Learn more about the undergraduate and graduate degrees that we offer.

Degree Programs

Our Research

Learn about the current research happening in our department.

Two females wearing white coats standing around one male student wearing a white coat holding chip over a light box

Prospective Student Resources

Explore the resources we have for you and how to get connected with our department.

Students working together and talking

2022 Department Magazine

This issue features research and student success over the last year.

Group of students standing on stairs giving thumbs up and smiling at the camera

Learn More

Resources

Students in classroom

Choose a Degree Program

The department offers degrees from two disciplines: Electrical Engineering and Computer Engineering.

Laptop

Find Graduate Distance Learning Programs

Our distance learning programs offer the same level of education as our highly reputed on-campus programs.

electrical engineering laboratory

Explore our Areas of Research

The department of electrical and computer engineering offers research opportunities in a variety of areas.

Recent News

Blake Petty, Daniel Zamarron and Bryton Praslicka holding large check

Multidisciplinary student duo places first at Aggie PITCH competition

Bryton Praslicka and Daniel Zamarron received first place in the Full Pitch division for current students at Texas A&M University’s McFerrin Center for Entrepreneurship startup competition, Aggie PITCH.

Dr. Le Xie, Dr. Srinivas Shakkottai and Dr. Ki-Yeob Lee sitting around desk with computer showing map of Texas electric grid

Targeted demand response reduces price volatility of electric grid

Through machine-learning techniques, the research team identifies strategic locations to implement targeted demand response. This method showcases a novel approach to a measure taken when the supply is strained, allowing for a reduction in cost for the wholesale market.

Omar Maddouri

Doctoral student offers new insight into machine-learning error estimation

Texas A&M University doctoral student Omar Maddouri has found a way to enhance error estimation for machine-learning models using transfer learning principles.

View All News

Upcoming Events

View All Events

By The Numbers

More Facts and Figures
#12 among public institution graduate programs
1,291 enrolled undergraduate students
744 enrolled graduate students