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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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Joyce Chai

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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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David Fouhey

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Anhong Guo

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John Hayes

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Wei Hu

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Ryan Huang

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Dhruv Jain

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Justin Johnson

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Danai Koutra

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Benjamin Kuipers

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Sindhu Kutty

Honglak Lee

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Maggie Makar

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Yatin Manerkar

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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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Georgios Tzimpragos

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Lu Wang

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Xinyu Wang

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Xu Wang

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Michael Wellman

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Jenna Wiens

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Stella Yu

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ECE Faculty

Laura Balzano

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Jason Corso

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Jeffrey Fessler

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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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Long Nguyen

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Ambuj Tewari

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Richmond Thomason

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