7月28日上午，美国罗彻斯特大学罗杰波教授应电子工程与信息科学系和多媒体计算与通信-教育部微软重点实验室的邀请访问我系，并为我系师生带来一场题为《Big data. Better Life》的研究生高水平前沿讲座。讲座由李厚强教授主持。

　　讲座中，罗教授从大数据和社交网络两方面相结合出发，讲述了他在计算机视觉和人工智能方面的多个前沿研究，展示了大数据时代下对社交网络的数据挖掘在个人心理、社会流行趋势等方面的潜在应用。罗教授深入浅出而不失幽默地讲解方式，赢得同学们的阵阵掌声。

　　报告摘要：We live in the age of big data. The biggest big data is big visual data, which includes images and other associated information. The biggest challenge is to develop effective computational methods for making sense of such massive visual data. Unlike text which is clean, segmented, compact, one dimensional and indexable, visual content is noisy, unsegmented, high entropy and multidimensional. In this talk, we present a few recent advances towards the ultimate goal of using big data, in particular large-scale and rich multi-modality data, to achieve robust intelligence in order to understand and improve life in terms of healthcare, politics, business, infotainment, and so on.

　　报告人简介：Jiebo Luo joined the University of Rochester (UR) in Fall 2011 after a prolific career of over fifteen years at Kodak Research Laboratories. He has been involved in numerous technical conferences, including serving as the program co-chair of ACM Multimedia 2010 and IEEE CVPR 2012, and the founding chair of the ACM SIGMM Workshop on Social Media. He is the Editor-in-Chief of the Journal of Multimedia, and has served on the editorial boards of the IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), IEEE Transactions on Multimedia (TMM), IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Pattern Recognition, Machine Vision and Applications, and Journal of Electronic Imaging. He is a Fellow of the SPIE, IEEE, and IAPR. He is a Data Science CoE Distinguished Researcher at the Georgen Institute for Data Science at UR.