Research Focus

Our group's research is in the area of dynamics and control.  Recent work has focused on applications to machine learning and artificial intelligence. 

Some salient accomplishments of the students in our group:

1. Winners of three Best Student Paper Awards (Yu Sun at IEEE CDC 2007, Kun Deng at CDC 2009, and Jin Kim in CDC 2019) and two finalists for the Best Student Paper Awards (Tao Yang at IEEE CDC 2012 and Huibing Yin at ACC 2010).  Although it is not official, our group may well hold the world record for most Best Student Paper Awards at IEEE CDC (the flagship conference in control theory)!

2. Winner of the university-wide COZAD competition (Adam Tilton in 2014) for student-led entrepreneurship.  Upon winning the competition, Adam co-founded the motion-sensing startup Rithmio (read the news story) whose technology portfolio was acquired by Bosch Sensortec in 2017.

We are known around the world for having invented the feedback particle filter (FPF) algorithm.  This research is recently featured in an IEEE Control Systems Magazine (August 2021 issue) article. We have a special knack for coming up with creative solutions for "previously-believed-to-be-unsolvable" problems!  A recent example is our work on duality for nonlinear filtering.  Although the topic is mathematically involved (see webpage), the history of this problem and its solutions appears here.  For this work, Jin Kim won the Best Student Paper Award at IEEE CDC 2019.