News

“Amazon is thrilled to establish a university hub at UT Austin,” said BA Winston, vice president of technology at Prime Video. “For years, our top scientists have been a resource to UT Austin graduate students, collaborating on topics such as developing objective machine learning models to predict perceptual video quality that drive smart compression and multimodal AI models that help ensure highest quality media playback experience at scale.”

WNCG professors Gustavo de Veciana and Haris Vikalo have received a National Science Foundation Resilient & Intelligent NextG Systems (RINGS) grant to research "Scalable and Resilient Networked Learning Systems." 

WNCG professor Atlas Wang has received several grants for his work on artificial intelligence. 

WNCG professor Aryan Mokhtari has received a grant from the National Science Foundation (NSF) to study Computationally Efficient Second-Order Optimization Algorithms for Large-Scale Learning. The project “lays out an agenda to develop a class of memory efficient, computationally affordable, and distributed friendly second-order methods for solving modern machine learning problems.”

Professor Al Bovik, holder of a Cockrell Family Regents Chair in the Wireless Networking and Communication Group and the Department of Electrical and Computer Engineering in the Cockrell School of Engineering at The University of Texas at Austin, has received a $450,000 grant over three years from the National Science Foundation (NSF) entitled “Tasking on Natural Image Statistics: 2D and 3D Object and Category Detection in the Wild.”

UT ECE professor Joydeep Ghosh has received two research awards from the National Science Foundation (NSF) totalling more than $1 Million focusing on topics in complex data modeling in the healthcare field..

A group of UT Austin and Stanford faculty members led by Prof. Gustavo de Veciana (UT ECE, WNCG) in collaboration with Profs. Sanjay Shakkottai (UT ECE, WNCG),  Lili Qiu (UT CS, WNCG),  and Ramesh Johari (MS&E, Stanford Univ.) have recently been awarded an NSF grant totaling $978,000. This project supports research in 5G wireless networks.