Lt Col Andrew Geyer, Adjunct Associate Professor of Statistics

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• Publications
• Work History
  Other Experience Teaching Timeline Professional Memberships Board Memberships
• Research
  Research Interests Expertise Contracts & Grants
• Teaching Interests
  PhD Dissertations Advised MS Thesis Advised
• Presentations
  Conferences (invited)

MS Thesis Advised

Advising

1. Stephanie M. Boone, Master of Science, Operations Research, Thesis: Shortest Path Across Stochastic Network with Correlated Random Arcs, Graduated March 2018
2. Jake E. Johnson, Master of Science, Operations Research, Thesis: Analysis of a Medical Center’s Cardiac Risk Screening Protocol Using Propensity Score Matching, Graduated March 2018
3. Khaled A. Almannaei, Master of Science, Operations Research, Thesis: Operational Squadron Scheduling, Graduated September 2018
4. Nathanael R. Beveridge, Master of Science, Operations Research, Thesis: Social Network Threat Detection, Graduated March 2019
5. Brendon T. Sands, Master of Science, Operations Research, Thesis: Time Series Analysis of Stochastic Networks with Correlated Arcs, Graduated March 2019
6. Dominick V. Speranza III, Master of Science, Operations Research, Thesis: Lightning Prediction Using Recurrent Neural Networks, Graduated March 2019
7. Charles A. Skrovan, Master of Science, Operations Research, Thesis: 45th WS Electric Field Mill Lightning Detection Threshold Analysis, Graduated March 2020
8. James L. Deitschel, Master of Science, Operations Research, Thesis: Preferred Treatment Methods for Patients with Inflammatory Bowel Disease, Graduated March 2020
9. Anson Cheng, Master of Science, Operations Research, Thesis: Lightning Prediction for Space Launch Using Machine Learning Based Off of Electric Field Mills and Lightning Detection and Range Data, Graduated March 2020
10. Garrett A. Alarcon, Master of Science, Operations Research, Thesis: Predicting Upper Atmospheric Weather Conditions Utilizing Long-Short Term Memory Neural Networks for Aircraft Fuel Efficiency, Graduated March 2020
11. Brandon M. Bailey, Master of Science, Atmospheric Science, Thesis: Next-Generation Air Force Weather Metrics via Bayes Cost Analysis, Graduated March 2020

Committee Membership

1. Christopher L. Teke, Master of Science, Engineering Management, Thesis: Impacts of Severe Weather, Climate Zone, and Energy Factors on Base Realignment and Closure (BRAC), Advisor: John J. Elshaw, Graduated March 2015, Involvement: Committee Member
2. David M. Arquette, Master of Science, Applied Mathematics, Thesis: Symmetry Groups for Linear Programming Relaxations of Orthogonal Array Problems, Advisor: Dursun A. Bulutoglu, Graduated March 2015, Involvement: Committee Member
3. Daniel E. Hill, Master of Science, Applied Mathematics, Thesis: Lightning Prediction Using Artificial Neural Networks and Electric Field Mill Data, Advisor: Richard S. Seymour, Graduated March 2018, Involvement: Committee Member
4. Ivan G. Keene, Master of Science, Operations Research, Thesis Title Not for Public Release, Advisor: Richard F. Deckro, Graduated March 2018, Involvement: Committee Member
5. Dawn L. Sanderson, Master of Science, Applied Mathematics (Statistics), Thesis: Modeling the Distribution of Lightning Strike Distances Outside a Preexisting Lightning Area, Advisor: Edward D. White, Graduated March 2019, Involvement: Committee Member
6. Ethan L. Salgado, Ph.D., Operations Research, Dissertation:The Military Inventory Routing Problem: Utilizing Heuristics Within a Least Squares Temporal Differences Algorithm to Solve a Multiclass Stochastic Inventory Routing Problem with Vehicle Loss, Advisor: Matthew J. Robbins, Graduated September 2019, Involvement: Dean’s Representative
7. Timothy S. Anderson, Ph.D., Applied Mathematics (Statistics), Dissertation: Statistical L-moment and L-moment Ratio Estimation and their Applicability in Network Analysis, Advisor: Christine Schubert Kabban, Graduated September 2019, Involvement: Committee Member
8. Jason C. Wood, Master of Science, Nuclear Engineering, Thesis: Determination of Lithium Isotope Concentration by Laser Induced Breakdown Spectroscopy Using Chemometrics, Advisor: Michael B. Shattan, Graduated March 2020, Involvement: Committee Member
9. Stephen M. Lee, Master of Science, Operations Research, Thesis: Ground Weather RADAR Signal Characterization through Application of Convolutional Neural Networks, Advisor: Lance E. Champagne, Graduated March 2020, Involvement: Committee Member
10. John L. Fioretti, Master of Science, Atmospheric Science, Thesis: Characterizing Regime-Based Flow Uncertainty, Advisor: Robert C. Tournay, Graduated March 2020, Involvement: Committee Member