Brian Ziebart, Ph.D.
Assistant Professor
Department of Computer Science
University of Illinois at Chicago
Brian Zeibart is primarily interested in machine learning and its applications to problems in robotics, assistive technologies, and human-computer interaction. He develops and applies new techniques for predicting structured data. He was awarded a Ph.D. in Machine Learning from Carnegie Mellon University in 2010.
Research:
Using maximum entropy structured prediction techniques to forecast future human behavior for intelligent robotics and vehicle navigation applications.
Education:
Ph.D., Carnegie Mellon University, 2010
Research Interests:
-Statistical Machine Learning
-Robotics
-Artificial Intelligence
-Assistive Technologies
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