Eytan Adar

Eytan Adar is an Associate Professor of Information and Computer Science at the University of Michigan, where his research lies at the intersection of human-computer interaction (HCI) and artificial intelligence (AI). His projects encompass a wide range of topics, including large-scale behavior modeling, social network evolution, and the integration of AI technologies into user-facing interfaces. Adar has a rich background in data/text mining, visualization, and social network analysis, having previously worked at HP Labs and Xerox PARC. He is associated with several research groups, including MISC and MIDAS, and has been instrumental in founding the International Conference on Weblogs and Social Media (ICWSM). His work has garnered support from various organizations such as the NSF and NIH, and he has collaborated with many notable students who have gone on to significant positions in academia and industry. Adar is also active in publishing research on topics like AI-bridged personalization and generative models for creative tasks.