News

May 31, 2023

‘Lab-on-a-Chip’ Can Tell the Difference Between COVID and the Flu

Three years into the COVID-19 pandemic, accurate testing remains a challenge, even more so as the virus has mutated over time, becoming more contagious with symptoms that are hard to tell apart from other illnesses. A new diagnostic device ... Read the story

May 30, 2023

From TACC Coding Camp to Cockrell Commencement

For all Texas Engineering graduates, earning their degrees is an exerpience years in the making. But for Jan Carlos Rubio, it's a journey that started well before he became a student at The University of Texas at Austin. 

May 25, 2023

Matthew Balhoff Named Next Chair of Hildebrand Department of Petroleum and Geosystems Engineering

Matthew T. Balhoff will be the next chair of the Cockrell School of Engineering’s Hildebrand Department of Petroleum and Geosystems Engineering (PGE).

Balhoff, an expert in pore-scale modeling, reservoir simulation and microfluidics, is the Bank of America Centennial Professor ... Read the story

May 22, 2023

Eliminating CO2 Emissions from Manufacturing the Goal of Major Research Alliance

An alliance of nine universities, three national labs and 37 companies will tackle one of the biggest hurdles to decarbonizing manufacturing: carbon dioxide emissions from generating process heat.

Researchers at The University of Texas at Austin will play a significant ... Read the story

May 22, 2023

Texas Engineers Named 2023 Knight-Hennessy Scholars

2023 Cockrell School of Engineering graduates Hannah Lee and Aditi Merchant are recipients of this year’s Knight-Hennessy Scholarship. Among the most prestigious student awards in higher education, the Knight-Hennessy Scholarship funds graduate studies at Stanford University and provides leadership ... Read the story

May 15, 2023

Artificial Neurons Mimic Complex Brain Abilities for Next-Generation AI Computing

For decades, scientists have been investigating how to recreate the versatile computational capabilities of biological neurons to develop faster and more energy-efficient machine learning systems. One promising approach involves the use of memristors: electronic components capable of storing a ... Read the story