Aleksandra Faust is a Senior Research Engineer at Google Brain, specializing in robot intelligence. Previously, Aleksandra led machine learning efforts for self-driving car planning and controls in Waymo and Google X, and was a researcher in Sandia National Laboratories, where she worked on satellites and other remote sensing applications. She earned a Ph.D. in Computer Science at the University of New Mexico (with distinction), a Master’s in Computer Science from University of Illinois at Urbana-Champaign, and a Bachelor’s in Mathematics from University of Belgrade, Serbia. Her research interests include reinforcement learning, adaptive motion planning, and machine learning for decision-making. Aleksandra won the Tom L. Popejoy Award for the best doctoral dissertation at the University of New Mexico in Engineering, Mathematics, and Sciences in the period of 2011-2014. She was also awarded with Sandia National Laboratories’ Doctoral Studies Program and New Mexico Space Grant fellowships, as well as the Outstanding Graduate Student in Computer Science award. Her work has been featured in the New York Times.
IEEE International Conference on Robotics and Automation (ICRA), Brisbane, Australia (2018) (to appear)