Professor
Mathematics (MATH)Education
B.A., Western State CollegeM.S., Salve Regina University
Ph.D., George Mason University
Brief Bio
Professor Caudle has a broad background as a researcher, military officer, and statistical consultant. In his current position at the South Dakota Mines, he has been working on forecasting and time series analysis over the past several years in collaborative effort with Professor Randy Hoover. Outside of the university, he has collaborated with Michael Frey from NIST as well as researchers from several Naval Surface Warfare Centers. As a 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 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.
Research Expertise
My research focus is in the areas of 1) Forecasting and Time Series Analysis and 2) Tensors and Multi-linear Algebra, and 3) STEM related projects to include data analysis workshops for an Research Experience for Undergraduates (REU) here at SDSMT. My forecasting projects has been funded by Naval Surface Warfare Centers, the National Science Foundation (NSF) and Naval Post Graduate School (NPS). Through this research I have developed numerous software packages to include Flow Field, rTensor2 and LTAR that has been published on the Comprehensive R Archive Network (CRAN). STEM projects of interest are for teaching college undergraduate engineers how to correctly analyze and interpret data.
Teaching
Professor Caudle primarily teaches probability and statistics courses at SD Mines. In that capacity the goal is to provide undergraduate engineers skills that will be useful in the careers as engineers. He also helped develop the new Ph.D. in Data Science. Mentoring graduate students as well as senior mathematics majors in their research projects. These projects have resulted in multiple peer reviewed publications with both graduate and undergraduate students. In 2015 he used Survival Analysis to analyze the data from the Hunger Games book series. This research resulted in a publication in the international journal "Teaching Statistics", which won the 2015 Peter Holmes prize for best classroom exercise in statistics teaching.