Dynamical Systems and Low-Dimensional Signal Models

ECE Seminar: Dynamical Systems and Low-Dimensional Signal Models

Starts at: April 23, 2015 4:30 PM

Ends at: 6:00 PM

Location: Scaife 125

Speaker: Dr. Christopher Rozell

Affiliation: Georgie Institute of Technology

Refreshments provided: Yes

Link to Poster

Link to Video (1)


An important realization of modern data science is that high-dimensional data often has low-dimensional structure that can be described geometrically. For example, many naturally occurring types of data can be effectively modeled as being sparse in an appropriate basis or as belonging to a manifold. In this seminar I will give an overview of some work we've done recently extending these types of static models to time-varying settings where the data itself, the acquisition process, or the computational system are described as dynamical systems. These results include studies in neurobiological vision, natural scene statistics, distributed computation in networks, and dynamic filtering algorithms for tracking time-varying sparse signals.

Christopher J. Rozell received a B.S.E. degree in Computer Engineering and a B.F.A. degree in Music (Performing Arts Technology) in 2000 from the University of Michigan. He attended graduate school at Rice University, receiving the M.S. and Ph.D. degrees in Electrical Engineering in 2002 and 2007, respectively. Following graduate school he joined the Redwood Center for Theoretical Neuroscience at the University of California, Berkeley as a postdoctoral scholar. In 2008 Dr. Rozell joined the faculty at the Georgia Institute of Technology where he is currently an Associate Professor in Electrical and Computer Engineering.
His research interests live at the intersection of data science, complex systems and computational neuroscience. His research lab is affiliated with both the Center for Signal and Information Processing as well as the Laboratory for Neuroengineering at Georgia Tech, where he previously held the Demetrius T. Paris Junior Professorship.
In 2014, Dr. Rozell was one of six international recipients of the Scholar Award in Studying Complex Systems from the James S. McDonnell Foundation 21st Century Science Initiative, as well as receiving a National Science Foundation CAREER Award and a Sigma Xi Young Faculty Research Award. In addition to his research activity, Dr. Rozell was awarded the CETL/BP Junior Faculty Teaching Excellence Award at Georgia Tech in 2013.