News
Texas ECE Students Trending Towards Chip and Semiconductor Tracks Over Software
Over the past few years, Texas ECE has seen more students gravitating toward hardware-centric courses such as computer architecture, integrated circuits, and semiconductor design, rather than the traditionally popular software engineering track.
Can AI Make Critical Communications Chips Easier to Design?
A multi-university team with heavy involvement from industry leaders is working to change that. The team, led by researchers from The University of Texas at Austin, plans to infuse artificial intelligence into the design process for RFICs to reduce the difficulty of making these important chips.
Unlock Your Computer with a Password-encoded Molecule
Editor's Note: This story was originally published by Cell Press.
Molecules like DNA can store large amounts of data without requiring an energy source, but accessing this molecular data is expensive and time consuming. Researchers from The University of Texas at Austin have developed an alternative method to encode information in synthetic
Researchers Receive Outstanding Paper Award at MLSys 2025
A paper published by students and faculty from the Chandra Family Department of Electrical Engineering in collaboration with Meta has received an Outstanding Paper Honorable Mention at MLSys 2025, the premier conference on machine learning and systems.
Nina Telang Joins Distinguished Leadership Service Academy
Prof. Nina Telang of Texas ECE has been selected to join the prestigious Provost's Distinguished Leadership Service Academy (DLSA) at The University of Texas at Austin.
Tricking Light with Metaplasmonic Films
Texas Engineers have demonstrated a technique to trick light into behaving as if it was interacting with atomically thin metal films, setting the stage for the design and development of next-generation optoelectronic devices such as emitters, detectors and nano-sensors that could be used in health care, pollution detection, telecommunications and more.
3D Imaging is Moving on Up with Newly Developed Method
Researchers developed an innovative new technique that allows accurate space and time reconstruction of optically scattering samples that undergo simple movements while being imaged.
Atlas Wang and Peihao Wang Receive DARPA Disruptive Idea Paper Award
Associate professor Zhangyang “Atlas” Wang and ph.D. student Peihao Wang have received a DARPA Disruptive Idea Paper Award at the International Conference on Neuro-symbolic Systems (NeuS), 2025.
