Electrical and Computer Engineering
News and updates featuring research, faculty achievements, student projects, and industry impact from the Department of Electrical and Computer Engineering.
Texas A&M experts lead NSF project on the future of semiconductors
Nov. 5, 2024 • 4 min. readDrs. Jiang Hu, Dileep Kalathil and Sunil Khatri received a National Science Foundation grant for their three-year project to revolutionize the future of semiconductors.
Texas A&M researchers have received a contract up to 3 years, $12.9 million from DARPA to develop a new strategy for preserving microbial samples.
Drs. Shuiwang Ji, Xiaoning Qian and Byung-Jun Yoon are one of the teams taking part in the APECx program funded by ARPA-H.
It can light up the sky and shut down the grid: the Aurora Borealis
Sep. 3, 2024 • 5 min. readGeomagnetic disturbances can hurt communication and power systems, but Dr. Jonathan Snodgrass, Dr. Thomas Overbye and their research group are researching ways to mitigate their impact.
Pocket-sized invention revolutionizes ability to detect harmful materials
July 11, 2024 • 2 min. readDr. Peter Rentzepis has invented a low-cost cellphone-based Raman spectrometer system to make identifications of unknown biological molecules within minutes.
Large language models may revolutionize the electric energy sector
June 19, 2024 • 4 min. readDr. Le Xie and fellow researchers are researching the capabilities and limitations of large language models to simplify the job of power engineers.
Designing more efficient and reliable learning algorithms grounded by information-theoretic tools may help improve machine learning, according to research from the Department of Electrical and Computer Engineering.
Artificial intelligence can aid us in growing plants without the need for soil, according to new doctoral research from the electrical and computer engineering department.
A total solar eclipse will make parts of Texas as dark as dusk and drop the solar generation to near zero, but other power sources will keep the grid stable.
Dr. Mladen Kezunovic and his team are combining big data and machine learning to predict outages and help consumers prepare for loss of power.








