Computer Science Professor Earns Industry Award

Kristen Grauman, a professor in the Department of Computer Science, has been awarded the Edward J. McCluskey Technical Achievement Award by the Institute of Electrical and Electronics Engineers.

The award recognizes outstanding and innovative contributions to the fields of computer and information science and engineering or computer technology.

Grauman, who leads the UT Austin Computer Vision Group, researches computer vision and machine learning, teaching artificial intelligence to autonomously perceive and recognize visual information. She studies navigation and exploration of three-dimensional spaces, audio-visual learning from video, image and video search and recognizing activity. She has created an AI that examines fashion trends and styles and gives recommendations and another that summarizes videos.

Grauman was previously named a finalist for the 2021 and 2020 Blavatnik National Awards for Young Scientists. She has also received recognition as a Fellow of the Association for the Advancement of Artificial Intelligence, an Alfred P. Sloan Research Fellow and a recipient of the Presidential Early Career Award for Scientists and Engineers. She is also a Microsoft Research New Faculty Fellow and the recipient of an NSF CAREER award, an ONR Young Investigator awards and the PAMI Young Researcher Award. She was inducted into the UT Academy of Distinguished Teachers in 2017 and serves as research director of Facebook AI Research.

She holds Professorship in Computer Science #4 at UT Austin.