Analysis of High Dimensional Data Sets
The understanding of patterns in high-dimensional data sets is proving to be a key ingredient to knowledge discovery.  The analysis of these massive, complex,  data sets involves an array of theoretical, algorithmic and computational challenges from which has emerged a new field of applied mathematics.  The Pattern Analysis Laboratory supports faculty and student research at Colorado State University with an emphasis on mathematical approaches for data analysis.   This research is concerned with the mathematical analysis, synthesis and modeling of patterns in data.
Pattern Analysis Laboratory: FUNDING
   Department of Mathematics, Colorado State University
Currently Funded Projects

  • THUNDER: Tolerant Hosts Using Novel Drug Enhanced Resilience, direct sponsor University of Washington, start date pending. 
  • Compressive Sensing Flash IR 3D Imager, sponsor Physical Sciences, Inc
  • RAPID: Early Warning Algorithms for Predicting Ebola Infection Outcomes, National Science Foundation
  • Communication through Gestures, Expression and Shared Perception, DARPA
  • CDS & E-MSS: Algebraic and Geometric Tools and Algorithms for the Analysis of Data Clouds and Large Data Arrays, National Science Foundation
  • ATD: Geometric and Statistical Data Analysis on Special Manifolds for Threat Detection, National Science Foundation

In the past PAL's research has been supported by

  • National Science Foundation
  • Defense Advanced Research Projects Agency (DARPA)
  • University of Washington
  • Physical Sciences, INC
  • The Infectious Disease Supercluster, Colorado State University
  • Air Force Office of Scientific Research
  • Yale University
  • Directorate for Central Intelligence
  • United States Forest Service
  • IBM Faculty Award
  • SIEMENS Corporate Research
  • Honeywell, INC