M.S., Salve Regina University
Ph.D., George Mason
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.
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.
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.