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Eytan Adar is a Professor at the University of Michigan, specializing in Human-Computer Interaction (HCI) and Artificial Intelligence (AI). His research focuses on user-centered interfaces, boundary HCI, and large-scale behavioral modeling in areas such as social networks and text production. Adar has contributed to numerous high-impact projects integrating AI technologies and visualization techniques. He is involved in several research groups and has been a key figure in the organization of conferences related to his field and has secured funding from prominent institutions such as the National Science Foundation and Google. His work emphasizes collaboration with students and other researchers, aiming to advance the understanding of language, creativity, and social network analysis.
University of Michigan • Ann Arbor, MI
Teaching and conducting research in Human-Computer Interaction and Artificial Intelligence.
Department of Electrical Engineering and Computer Science