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Erika Susana Alcorta and Matthew Barondeau of Texas ECE have been named winners of 2023 Qualcomm Innovation Fellowships for North America. The QIF program "is focused on recognizing, rewarding, and mentoring innovative PhD students across a broad range of technical research areas, based on Qualcomm’s core values of innovation, execution and teamwork. QIF enables graduate students to be mentored by our engineers and supports them in their quest towards achieving their research goals."

WNCG student Zhiwen Fan and his teammate Rishov Sarkar (Georgia Tech) were among the winners of this year's Qualcomm Innovation Fellowships for North America. The pair's winning project studied "Real-Time Visual Processing for Autonomous Driving via Video Transformer with Data-Model-Accelerator Tri-Design."

WNCG students Akash Doshi and Manan Gupta have been named winners in the 2021 Qualcomm Innovation Fellowship (QIF) North America Program. Doshi and Gupta proposed the project “Federated Generative Learning for Channel Estimation in mmWave and THz systems.” The pair was one of 16 winners chosen from 43 teams of finalists. “We are extremely honored to have been selected as the recipients of this prestigious fellowship,” Gupta said. “We look forward to working with Qualcomm to develop impactful and innovative wireless technology.”

A team of Texas ECE students has been named a winner of the Qualcomm Innovation Fellowship 2020 (North America) competition. The team of Khurram Mazher and Andrew Graff won for their project "Radar-to-radar Interference: System Level Analysis and Solutions." Khurram and Andrew were one of 13 winning teams selected from 42 finalists. The Qualcomm Innovation Fellowship began in 2009, and "has continued to grow with the addition of more universities, more candidates, and expansion to our research centers internationally."

Today in Austin, pedestrians and cyclists account for more than 50% of all traffic deaths, even though they only make up about 20% of travelers on the roads. While the push towards automated vehicles could reduce these deaths, unless vehicles receive help from pedestrians, automated cars could become too cautious and risk avoidant to function efficiently.

Each year, the D-STOP Symposium brings together top experts in the field of automated vehicles, connected infrastructure and new mobility services to share their emerging research that will impact the future of transportation planning and technology.

Over 80 percent of annual car crashes could be prevented by vehicular  communications, a recent NHTSA report demonstrates. To improve vehicular communications and substantially improve safety benefits for all, TxDOT funded the Communications and Radar-Supported Transportation Operations and Planning (CAR-STOP).

Texas Wireless Summit 2016 is thrilled to announce that this year's event will feature the first-ever public demonstration of AT&T and Ericsson's 5G millimeter wave technology. Millimeter wave is an essential and fundamental component for 5G mobile networks and AT&T's plans. This 5G demo will showcase the possibility and feasibility of millimeter wave radio access technology for the cellular networks of the future.

RCR Wireless spoke with WNCG Profs. Todd Humphreys and Constantine Caramanis, co-organizers of the Texas Wireless Summit (TWS) 2016. TWS will take place on October 18th at the Blanton Museum of Art Edgar Smith Building on UT Austin's campus. It will focus on the connectivity, sensing and data analytics of automated vehicles. Keynotes, panels and discussions will take place throughout the day. This year's event will feature a special startup showcase.

Texas Wireless Summit (TWS) 2016: Reshaping Wireless Through Automated Vehicles, recently announced their speaker line-up and other exciting special reveals for this year’s event. On October 18, 2016, TWS will explore how automated vehicles will reshape wireless over the next 10 years with their demands for coordinated sensing and decision-making. The event will look at the benefits and requirements of connectivity, the key challenges of vehicle sensing and shared data analytics, including lightly processed radar, lidar and camera data.