Paul Cuff

Assistant Professor of Electrical Engineering
Ph.D. 2009, Stanford University

My research in information theory is largely focused on the fundamental limits of communication in multiuser settings.  In addition to moving information around in the classical sense, some alternative questions arise when you consider using information to coordinate actions in a control setting.  The mathematical tools needed to characterize the limits of compression in these settings are related to rate-distortion theory and require additional novel concepts as well.

I also have interest in several other topics of research.  This list summarizes some of my current research interests:
- Multiuser information theory
- Communication for control
- Knowledge from the masses (ex. Wikipedia)
- Investment (portfolio) theory
- Machine learning
- Statistical physics, random algorithms, belief propagation
- Audio processing

After finishing a Bachelor's degree in electrical engineering at Brigham Young University, I spend 2004 to 2009 getting a Master's and Ph.D. from Stanford University.  Taste-testing the broad field of EE, my curiosity finally led me to research information theory with Thomas Cover, my dissertation advisor.  The elegance of the mathematics and brilliance of the advisor were too much to resist.

I received a few honors as a graduate student for my performance on the qualifying exam and my efforts as a teaching assistant.  A very motivating honor was award in 2008 at the International Symposium on Information Theory, where I received a student paper award for my solo-authored unorthodox work on communication requirements for generating correlated random variables.  That work has led me to various avenues of research.

I joined the faculty at Princeton University in September of 2009.