Dr. Lance E. Champagne, Associate Professor
PhD Dissertations Advised
Advisor, Ph.D. in Operations Research: Current
3. Nirav Lad (2023-Present). Preparing Prospectus
2. Isaah Warnke (2022-Present). PhD Candidate
1. Lara Combs (2022-Present). Completing Coursework
Dissertations Advised
1. Jamie Zimmermann (2019-2022): Innovative Heuristics to Improve the Latent Dirichlet Allocation Methodology for Textual Analysis and a New Modernized Topic Modeling Approach. AFIT-ENS-DS-22-J-059. June 2022.
Dissertation Committee Member, Ph.D. in Operations Research
3. Maj Ryan Walton, Advisor: Frank Ciarallo, AFIT. Digital Twin: Integrating Physical and Virtual Reality with Prescriptive Analytics to Enable Rapid Effective Decision-Making in Autonomous System. AFIT-ENS-DS-23-S-021. September 2023.
2. Capt Jeremiah Bill, Advisor: Bruce Cox, AFIT. Advances in Quaternion-Valued Neural Networks. AFIT-ENS-DS-23-S-012. September 2023.
1. Matthew Ledwith, Advisor: Ray Hill, AFIT. Probability of Agreement as a Simulation Validation Methodology. AFIT-ENS-DS-23-M-135. March 2023.
Dissertation Committee Member, Ph.D. in Statistics 2019-Present
2. Capt Peter Calhoun, Advisor: Beau Nunnally. Statistical Inference on Desirability Function Optimal Points to Evaluate Multi-Objective Response Surfaces. AFIT-ENC-DS-22-S-001. September 2022.
1. Capt Gonzalo Hernando, Advisor: Christine Shubert Kaban., Modern Approaches and Theoretical Extensions to the Multivariate Kolmogorov Smirnov Test. AFIT-ENC-DS-22-S-003. September 2022.