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IBM recently announced the awardees of this year’s IBM Ph.D. Fellowship Program. WNCG student Tianlong Chen was among only 16 students selected worldwide for 2021. According to IBM, the Fellowship Awards Program is “intensely competitive.” Awardees are exceptional Ph.D. students conducting research in promising and disruptive technologies, particularly: Hybrid Cloud; Quantum Computing / Quantum Systems; Artificial Intelligence; Cloud / Open Source Technologies; Security / Cyber Security; Data Science; and Systems.

The Engineering Education and Research Center at The University of Texas was abuzz with over 200 participants gathered for Texas Wireless Summit (TWS) on November 6. This year’s theme was “AI and the Mobile Device.”Held annually by WNCG, TWS brings together leading figures in industry, academia, and government to discuss the latest developments in information systems technology. “AI and the Mobile Device” marked the 16th summit hosted by the group.“Every year we try to think about a theme that captures what’s most exciting in technology,” Prof.

WNCG students Wenguang Mao and Mei Wang, along with their advisor, WNCG Professor Lili Qiu, won the “Best Paper” award at this year's ACM MobiSys, which took place over the summer in Munich, Germany. According to the conference website, MobiSys “seeks to present innovative and significant research on all aspects of mobile systems, applications, and services. The conference values technical contributions with working implementations and practical evaluations.” Mao, Wang and Qiu’s paper, titled “AIM: Acoustic Imaging on a Mobile,” was chosen from 40 papers accepted to the conference.

Registration is now open for WNCG’s 2018 Texas Wireless Summit! TWS will take place on November 6, 2018 at The University of Texas at Austin.  This year's event, “AI and the Mobile Device,” will focus on how machine learning, artificial intelligence, and some key applications will interact with wireless technology. The Summit will examine how Artificial Intelligence and Machine Learning (AI/ML) will simultaneously enhance connectivity as well as place demands on both devices and connectivity.