Brian Ziebart

Brian Ziebart

Assistant Professor

I am primarily interested in machine learning and its applications to problems in robotics, assistive technologies, and human-computer interaction. I develop and apply new techniques for predicting structured data. I was awarded a Ph.D. in Machine Learning from Carnegie Mellon University in 2010.


Office: 1108 Science and Engineering Offices
Lab: 4211 Science and Engineering Laboratories


Fall 2013. CS 594: Advanced Topics in Machine Learning: Structured Prediction
Spring 2013. CS 491: Introduction to Machine Learning


Some past projects: Using maximum entropy structured prediction techniques to forecast future human behavior for intelligent robotics and vehicle navigation applications.

Awards and Honors

Best Paper Runner-Up, European Conference on Computer Vision (ECCV) 2012
Best Paper Nominee, International Conference on User Interfaces (IUI) 2012
Best Paper Award, International Conference on Machine Learning (ICML) 2011
Honorable Mention, Carnegie Mellon University School of Computer Science Dissertation Award 2011
Best Student Paper Runner-Up, International Conference on Machine Learning (ICML) 2010


, .

Copyright 2014 The Board of Trustees
of the University of
Helping Women Faculty Advance
Funded by NSF