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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.

WNCG faculty member Evdokia Nikolova is co-organizer for a semester-long program on Real-Time Decision Making at UC Berkeley. The program is hosted by the Simons Institute for the Theory of Computing, a collaborative research institute which is a leader in theoretical computer science.

WNCG Prof. Lili Qiu has been named an IEEE Fellow. She is being recognized for “contributions to wireless network management.” The IEEE Grade of Fellow is conferred by the IEEE Board of Directors upon a person with an outstanding record of accomplishments in any of the IEEE fields of interest. The total number selected in any one year cannot exceed one-tenth of one-percent of the total voting membership. IEEE Fellow is the highest grade of membership and is recognized by the technical community as a prestigious honor and an important career achievement.