Dr. Paul Rosen

Dr. Paul Rosen - Research Assistant Professor

WEB 3809
phone (801) 587-3542
fax (801) 585-6513
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My Publications

Background

I received my Ph.D. in August 2010 from the Computer Science Department of Purdue University where my dissertation was about Camera Model Design, a problem solving paradigm which advocates designing dynamic, application specific camera models for solving problems in computer graphics, visualization, and computer vision.

During my time at Purdue, also participated in a wide variety of projects which included perception of 3-D display imagery, urban modeling and visualization, and graphics hardware assisted constraint solving. I also participated in a project focused on high-fidelity visualization of large-scale simulations, where I was a key member of the team which modeled, simulated, and visualized the September 11, 2001 attack on the World Trade Center North Tower. The video produced for the simulation has generated significant publicity for Purdue. It has appeared on many news and educational television programs and has been downloaded over 9 million times.

I joined the Scientific Computing and Imaging Institute at the University of Utah in July 2010.

Current Responsibilities

I am currently involved in the NSF CDI : The Open Wildland Fire Modeling E-Community project under Chris Johnson.

Research Interests

My primary research interest is in Camera Model Design and its applications to computer graphics, visualization, computer vision, and computer-human interaction. In particular, I am interested in maximizing the information bandwidth available in images by modifying the structure of the physical or virtual camera which captures the image. I am also applying my techniques to remote visualization applications and a number of computer graphics applications. I have a more casual interest is computational photography, global illumination, image processing, and 3D scene acquisition.

My research focusses on Unconventional Mappings for Visual Analysis of Large Data.

  1. Maximize the information bandwidth available in images using Camera Model Design and apply those techniques to computer graphics, visualization, computer vision, and computer-human interaction.
  2. New forms of data simplification for compression and remote visualization of time-varying datasets.
  3. Multi-scale visualization toward better understanding of the evolution of software performance.