Dan Connors is an assistant professor in the Department of Electrical Engineering at
the University of Colorado Denver. His research focuses on the design and
implementation of advanced computer systems that accelerate scientific computing
applications and algorithms. His research interests span parallel programming
models, compiler optimizations, run-time optimization systems, and computer
architecture. Dan currently investigates the mapping of computationally intensive
applications in computer vision to modern multicore and graphics processing
architectures, in order to enable low-energy mobile object recognition and tracking.
Dan earned his Ph.D. in Electrical and Computer Engineering at the University of
Illinois Urbana-Champaign. Dan has received several awards including the 2012
Outstanding Faculty Teaching Award at College of Engineering, University of
Colorado Denver; the 2008 Sullivan-Carlson Innovation in Teaching Award,
University of Colorado Boulder; and the 2003 John and Mercedes Peebles Innovation
in Education Award, University of Colorado Boulder.