Research
UT Austin and Amazon are partnering to foster a rich research community centered on key focus areas. This collaboration brings together subject-matter experts from different fields to create impactful research breakthroughs on a global scale.
Real-Time Video Quality Prediction on Live, High-Motion Studio/Professional-Grade Content
Sponsored Research Project – PI: Al Bovik
Videos continue to “get bigger” along every dimension, including frame rate, bit depth, color gamut, resolution, and fusion with generative methods. This work addresses new quality issues that arise and how to deal with them to optimize perceptual video quality vs. bandwidth consumption.
Content-Based Video Asynchronization Detection
Sponsored Research Project – PI: David Harwath
Video synchronization errors are commonly encountered in the real world and have a negative impact on the viewer’s experience. This project develops machine learning models capable of automatically detecting when the audio and visual streams of a live video broadcast become temporarily out of sync with one another.
Fundamentals of Data-Driven Spectrum Sharing for 6G-era LEO Network
Research Gift – PI: Jeff Andrews
Andrews’ team models and studies the spectrum sharing problem between Kuiper and another LEO system. Their work involves showing upper and lower bounds of feasibility, then studying and applying modern data-driven approaches from machine learning, whereby Kuiper can learn to predict the incumbent associations with the help of real-time measurements by its own ground users.
Positioning and Sensing on 6G LEO Networks
Research Gift – PI: Todd Humphreys
Humphreys’ team will consider new concepts for joint communications and sensing related to dense LEO constellations. Specifically, they (1) examine the requirements for dense LEO constellations with inter-satellite links to perform accurate satellite orbit and clock estimation without onboard GNSS, and (2) develop a concept of operations for a dense LEO constellation to provide both broadband communications and GPS-like positioning, navigation and timing (PNT) to users.
To support our mutual interest in developing a sustainable, diverse talent pipeline, the UT Austin-Amazon Science Hub will offer one-year Ph.D. fellowships to UT students. These fellowships will be aligned to the academic year cycle, and recipients will be selected by the Science Hub board of advisors.
Industrial Affiliates Programs (IAPs) deliver a mutually beneficial pathway for industry and UT Austin researchers to explore fundamental research topics together.
Amazon is a proud partner of the following UT Austin Industrial Affiliate Programs:
WNCG
The mission of the Wireless Network & Communications Group is to create a collaborative environment that supports research, provides highly relevant education and opportunities, promotes technical innovation, imagination and entrepreneurship in wireless networking, communications and data sciences.
Texas Robotics
Researchers in multiple departments work to advance the capability of robotics in numerous application spaces, including social, surgical, rehabilitation, vehicles, drilling, manufacturing, space, nuclear and defense.
iMAGiNE
The iMAGiNE consortium provides tools, methodologies and knowledge for engineering the machines that support intelligent applications, from the smallest circuits to the largest systems. They work with machine learning, reasoning and understanding from cloud to edge.