Kyle A Caudle
(
2011)
Professor
Mathematics (MATH)
Education
B.A., Western
State College
M.S., Salve Regina University
Ph.D., George Mason
University
Contact/Location
Kyle.Caudle@sdsmt.edu
(605) 394-2471
M 304C
(campus map)
Research Expertise
My research focus is in the areas of 1) Forecasting and Time Series Analysis and 2)
Non-parametric Density Estimation of Data Streams, and 3) STEM related projects to
include data analysis workshops for an Research Experience for Undergraduates (REU)
here at SDSMT. My forecasting project has been funded by the Naval Post Graduate School
(NPS). We are helping the Navy determine things such as enemy asset position, location
of terrorist units and cells and drug smugglers. This research has led us to develop
our own software we call Flow Field Forecasting. My non-parametric density estimation
research has many applications but most notably we have used it for computer intrusion
detection. STEM projects of interest are for teaching college undergraduate engineers
how to correctly analyze and interpret data.
Brief Bio
Professor Caudle has a broad background as a researcher, military officer, and statistical
consultant. In his current position at the South Dakota School of Mines and Technology,
he has been working on forecasting and time series analysis over the past several
years in collaborative effort with Michael Frey from Bucknell University. As a statistical
consultant, he worked on budgeting problems in the area of surface ship maintenance.
As a Naval officer, he was trained in surface nuclear power, and has recent experience
as a 5th Fleet staff officer. In the past, he has also led work in the area of anomaly
detection in streaming data with researchers from the U.S. Naval Academy and George
Mason University. In 2013 he received accreditation as a Professional Statistician
by the American Statistical Association.
Teaching
I teach primarily probability and statistics courses here at SDSMT. My goal is to
provide undergraduate engineers skills that will be useful in the careers as engineers.
Mentoring seniors in their research projects is also a fun and exciting part of my
job. Recently a former student and I used Survival Analysis in order to analyze the
data from the Hunger Games book series. This research resulted in a a publication
in the international journal "Teaching Statistics", which won the 2015 Peter Holmes
prize for best classroom exercise in statistics teaching. My goal is to make students
see the usefulness of the subject--especially at an engineering school.
Course Listing