News

Did you know it’s possible to control a robotic arm or a wheelchair with just your thoughts, through a device called a brain-computer interface (BCI)? But for many users, learning to operate these systems is slow, difficult and, in some cases, unattainable. WNCG's CNBI Lab has discovered a novel way to accelerate this.

Published May 29 in Device, a new study co-authored by WNCG professor Nanshu Lu introduces a wireless forehead e-tattoo that decodes brainwaves to measure mental strain and may help track the mental workload of workers like air traffic controllers, surgeons, truck drivers and more.

WNCG & 6G@UT Graduates and Summer Internships

Dr. Kim has received this prestigious award for her innovative machine learning research

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 and 6G@UT's Dr. Sensen Li, plans to infuse artificial intelligence into the design process for RFICs to reduce the difficulty of making these important chips.

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.

6G@UT/UT Aerospace students discovered how low-Earth orbit satellite constellations can provide highly accurate positioning data, showcasing the broader technological potential of these rapidly expanding systems.

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.

Gourounas received the nomination for his paper, "HighWave: Large-scale High-Bandwidth Wave Simulations on FPGAs."

WNCG graduate student Sam Morgan received the Best Student Paper Award at this year's IEEE/ION PLANS conference in Salt Lake City, Utah.