News

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.”

Prof. Edison Thomaz of Texas ECE has received a Google Faculty Research Award for his proposed research work on "Identifying Acoustic Biomarkers of Mental Health and Well-Being in Voice-Based Interactions with Conversational Assistants in the Home". Google Faculty Research Awards is an annual open call for "proposals on computer science and related topics such as machine learning, machine perception, natural language processing, and quantum computing." This year, Google considered 1,033 proposals covering 46 countries and over 360 universities and funded 152 projects from those proposals.