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Kristen Grauman is a Full Professor in the Department of Computer Science where she leads the UT Computer Vision Group. Her research is in computer vision and machine learning. She is a Fellow of AAAI, an Alfred P. Sloan Research Fellow, and a recipient of the Presidential Early Career Award for Scientists and Engineers, the 2013 Computers and Thought Award, and several best paper awards. Prof. Grauman serves as Associate Editor-in-Chief for the IEEE Transactions on Pattern Analysis and Machine Intelligence. She was elected to the Academy of Distinguished Teachers in 2017, and received her B.A. from Boston College and her Ph.D. from MIT.

Ph.D. in Computer Science, Massachusetts Institute of Technology, 2006

B.A. in Computer Science (summa cum laude), Boston College, 2001

artificial intelligence, computer vision, machine learning, machine perception, graphics, visualization, visual recognition, image and video search, video summarization, video analysis, first-person vision, embodied and multi-modal perception, interactive machine learning, object and activity recognition, unsupervised visual discovery, deep learning

Associate Editor-in-Chief, IEEE Transactions on Pattern Analysis and Machine Intelligence (2016 - 2021)

AAAI Fellow - The Association for the Advancement of Artificial Intelligence (2019)

PECASE (Presidential Early Career Award for Scientists and Engineers) - U.S. Government (2014)

Sloan Research Fellow - Alfred P. Sloan Foundation (2012)

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Kristen L Grauman

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