Prof. Mattan Erez and Prof. Michael Orshansky of Texas ECE have received an award from Facebook Research to develop new technologies in the area of “AI System Hardware/Software Co-Design.” 

The University of Texas at Austin is at the forefront of researching next-generation wireless communications. 

Texas Mechanical Engineering PhD student Yoonho Seo won the Oustanding Paper Award in the Poster Presentation Category at the Transducers 2019 Conference in Berlin for the paper titled "High Temperature Piezoelectric Pressure Sensors for Hypersonic Flow Measurements" and co-authored with Donghwan Kim and Prof. Neal A. Hall.

Prof. Pan received the award for “contributions to design for manufacturing and physical design of integrated circuits and systems, and educating a diverse body of outstanding EDA professionals to industry.” 

Texas ECE alumna Jette Henderson was announced as the recipient of the 2019 American Medical Informatics Association (AMIA) Doctoral Dissertation Award: Honorable Mention. AMIA "is committed to the science and practice of informatics as it relates to clinical care, research, education, and policy."  Dr.

 The team won for their paper "DREAMPlace: Deep Learning Toolkit-Enabled GPU Acceleration for Modern VLSI Placement." The Design Automation Conference is recognized as the premier conference for design and automation of electronic systems. 

In this research, Kulkarni, the principal investigator, along with his collaborator from Vanderbilt University plans to explore novel Phase Transition Materials (PTM) to improve the radiation hardness of CMOS logic and memory circuits. 

Texas ECE students Sam Kanawati and Sal Pathare took Third Place in the Texas Venture Labs Investment Competition (TVLIC) on May 10, 2019. Lambert Labs aims to dramatically improve the affordability of blood glucose monitoring for diabetics worldwide.

Prof. Alex Dimakis and his collaborators have investigated a potential threat to text-comprehension AIs. “When we deploy these AIs and we have no idea what they’re really doing, I think it’s a little scary,” Dimakis says.

The study was led by Shijia Wei, a Ph.D. candidate in the Cockrell School’s Department of Electrical and Computer Engineering; his adviser, assistant professor Mohit Tiwari; and colleagues, professor Michael Orshansky and associate professor Andreas Gerstlauer.