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.”

WNCG student Debarati Kundu and her advisor, Prof. Brian Evans, have been selected for a top 10% paper award for the IEEE International Conference on Image Processing 2015. The conference will take place in Quebec City, Canada in September. The paper "Full-Reference Visual Quality Assessment for Synthetic Images: A Subjective Study" deals with conducting a series of subjective experiments to aid in better understanding how humans perceive synthetic images encountered in computer graphics.