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WNCG professor Atlas Wang received a Data Science Research Award from Adobe for his work on “Towards Automated Design of Efficient Deep Multi-Modal Recommendation Models.” Every year, Adobe funds a university faculty research program to “promote the understanding and use of data science in the area of marketing with the goal “to encourage both theoretical and empirical development of solutions to problems in marketing.”

Advances in machine learning are announced every day, but efforts to fundamentally rethink the core algorithms of AI are rare.

Ken Pesyna, doctoral student at the Department of Electrical and Computer Engineering at The University of Texas at Austin’s Cockrell School of Engineering was selected as a 2015 Marconi Society Paul Baran Young Scholar. The award recognizes Pesyna’s academic achievements and leadership in the field of communications and information science. Pesyna was selected for his outstanding work in centimeter-accurate and power-efficient smartphone positioning, his excellent academic record and his demonstrated entrepreneurial capabilities.