Ryan Kappedal
Former Lecturer
Focus
High dimensional data
Research areas
Biography
Current Research
Ryan works on data where the number of parameters exceed the number of data points by an order of magnitude to try and find a lower dimensional structure for predictive analysis. Some examples include DNA/RNA, seismic sensing data, FRMI imagery data.
Past Research
Gravimetric anomaly detection with compressed sensing. Intelligence, surveillance, and reconaisance asset assignment.
Education
University of Washington - PhD Statistics
Air Force Institute of Technology - MS Operations Research
United States Air Force Academy - BS Operations Research