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Artificial Intelligence

The Artificial Intelligence (AI) program at the University of Michigan comprises a multidisciplinary group of researchers conducting theoretical, experimental, and applied investigations of intelligent systems. Current projects include research in rational decision making, distributed systems of multiple agents, machine learning, reinforcement learning, cognitive modeling, game theory, natural language processing, machine perception, healthcare computing, and robotics. 

Research in the Artificial Intelligence laboratory tends to be highly interdisciplinary, building on ideas from computer science, linguistics, psychology, economics, biology, controls, statistics, and philosophy. In pursuing this approach, laboratory faculty and students work closely with colleagues throughout the University. This collaborative environment, coupled with our diverse perspectives, leads to a valuable interchange of ideas within and across research groups.

CSE Faculty

Nikola Banovic

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Satinder Baveja

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Joyce Chai

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Mosharaf Chowdhury

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Edmund Durfee

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David Fouhey

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John Hayes

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Chad Jenkins

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Justin Johnson

David Kieras

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Danai Koutra

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Benjamin Kuipers

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Sindhu Kutty

John Laird

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Walter Lasecki

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Honglak Lee

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Jason Mars

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Rada Mihalcea

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Emily Mower Provost

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Barzan Mozafari

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Edwin Olson

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Veronica Perez-Rosas

Karem Sakallah

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Lingjia Tang

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Michael Wellman

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Jenna Wiens

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ECE Faculty

Laura Balzano

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Jason Corso

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Jeffrey Fessler

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Brent Griffin

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Alfred Hero

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Clayton Scott

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Affiliated Faculty

Steven Abney

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Ella Atkins

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Ceren Budak

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Kevyn Collins-Thompson

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Ryan Eustice

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Matthew Johnson-Roberson

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Jie Liu

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Qiaozhu Mei

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Kayvan Najarian

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Mark Newman

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Long Nguyen

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Ambuj Tewari

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Richmond Thomason

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