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Artificial Intelligence

Artificial Intelligence (AI) research 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 artificial intelligence tends to be highly interdisciplinary, building on ideas from computer science, linguistics, psychology, economics, biology, controls, statistics, and philosophy. In pursuing this approach, 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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Elizabeth Bondi-Kelly

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Mithun Chakraborty

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Mosharaf Chowdhury

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Michał Dereziński

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Benjamin Fish

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Justin Johnson

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David Jurgens

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Benjamin Kuipers

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Sindhu Kutty

Yatin Manerkar

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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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Jeong Joon Park

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Veronica Perez-Rosas

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Alexander Rodríguez

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Karem Sakallah

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Georgios Tzimpragos

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Michael Wellman

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ECE Faculty

Laura Balzano

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Jason Corso

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Jeffrey Fessler audio icon

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Alfred Hero

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Clayton Scott

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Affiliated Faculty

Ceren Budak

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Kevyn Collins-Thompson

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Chad Jenkins

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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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Ambuj Tewari

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