Dr. Lance E. Champagne, Associate Professor
Education
Doctor of Philosophy (Ph.D.), Operations Research, Air Force Institute of Technology, 2004
Master of Science (M.S.), Operations Research, Air Force Institute of Technology, 1999
Bachelor of Science (B.S.), Biomedical Engineering & Mathematics, Tulane University, 1991
Awards
2022-2023 Graduate School of Engineering and Management Dean's Distinguished Teaching Professor
2014 Winter AFIT/ENC Mathematics and Statistics Instructor of the Quarter
Publications
Refereed Journals
21. Shaw, C., P. LaCasse, L. Champagne. 2025. Exploring e/motion c/lassification of Indonesian Tweets Using Large Scale Transfer Learning via IndoBERT. Social Network Analysis and Mining.15:22. (Scimago Journal Rank: Q1), https://doi.org/10.1007/s13278-025-01439-6
20. Zimmermann, J.*, L. Champagne, J. Dickens, B. Hazen. 2024. Approaches to improve preprocessing for Latent Dirichlet Allocation topic modeling. Decision Support Systems. Vol. 185. (Scimago Journal Rank: Q1), https://doi.org/10.1016/j.dss.2024.114310
19. Miller, N.*, R. Drumm*, L. Champagne, B. Cox, T. Bihl. Strategies to Alleviate Flickering: Bayesian and Smoothing Methods for Deep Learning Classification in Video. Journal of Defense Analytics and Logistics. (Scimago Journal Rank: Q4), https://doi.org/10.1108/JDAL-09-2023-0010
18. Martinez, A.*, L. Champagne, P. LaCasse. 2024. Simulating Autonomous Drone Behaviors in an Anti-Access Area Denial (A2AD) Environment. Journal of Defense Modeling and Simulation. (Scimago Journal Rank: Q2), https://doi.org/10.1177/15485129241288236
17. Champagne, L., T. Talafuse, E. Gilts*. 2024. Simulating MQ-9 Aircrew Training to Determine Throughput, Identify Bottlenecks, and Optimize Manning Levels. Military Operations Research. (Scimago Journal Rank: Q4), https://doi.org/10.5711/1082598329205
16. Ledwith, Matthew*, R. Hill, L. Champagne, E. White. 2024. Validating Multi-Resolution Aircraft Models with Probabilities of Agreement. Military Operations Research. (Scimago Journal Rank: Q4), https://doi.org/10.5711/1082598329205
15. Walton, R.*, F. Ciarallo, L. Champagne. 2024. A Unified Digital Twin Approach Incorporating Virtual, Physical, and Prescriptive Analytical Components to Support Adaptive Real-Time Decision-Making. Physical, and Prescriptive Analytical Components to Support Adaptive Real-Time Decision-Making. (Scimago Journal Rank: Q1), https://doi.org/10.1016/j.cie.2024.110241
14. Bill, J.*, B. Cox, L. Champagne. 2023. A Comparison of Quaternion Neural Network Backpropagation Algorithms. Expert Systems with Applications, Vol. 232. December 2023. (Scimago Journal Rank: Q1), https://doi.rog/10.1016/j.eswa.2023.120448
13. McCloskey, B.*, B. Cox, L. Champagne, T. Bihl. 2023. Benefits of Using Blended Generative Adversarial Network Images to Augment Classification Model Training Datasets. Journal of Defense Modeling and Simulation. (Scimago Journal Rank: Q2), https://doi.org/10.1177/15485129231170225
12. Guenther, E.*, E. Sorensen, and L. Champagne. 2023. Pregnancy Rights Information Increases Female Intercollegiate Student Athletes’ Intent to Seek Help. Journal of Intercollegiate Sport, 16.1. March 2023. pp. 54-73. (Scimago Journal Rank: N/A), https://doi.org/10.17161/jis.v16i1.15816
11. Ledwith, M.*, R. Hill, L. Champagne, and E. White. 2023. Probabilities of Agreement for Computational Model Validation. ASME. Journal of Verification, Validation, and Uncertainty Quantification. March 2023; 8(1): 011003. (Scimago Journal Rank: Q3), https://doi.org/10.1115/1.4056862Bill, J., Champagne, L., Cox, B., and Bihl, T. May 2021. Meta-Heuristic Optimization Methods for Quaternion-Valued Neural Networks. Mathematics 9 (9), 938.
10. Lacasse, P., L. Champagne, and J. Escamilla*. 2022. Simulation Analysis of Applicant Scheduling and Processing Alternatives at a Military Entrance Processing Station. Journal of Defense Modeling and Simulation. (Scimago Journal Rank: Q2), https://doi.org/10.1177/15485129221134536
9. Stanton, M.*, J. Dickens, L. Champagne, J. Anderson. 2022. Supply Chain Resilience: How Autonomous Rovers Empirically Provide Relief to Constrained Flightline Maintenance Activities. Journal of Defense Analytics and Logistics. Vol. 6 No. 1. (Scimago Journal Rank: Q4), https://doi.org/10.1108/JDAL-10-2021-0013
8. Lee, S.*, L. Champagne, and A. Geyer. 2021. Cloud Characterization with a Convolutional Neural Network using Ground Weather Radar Scans. Military Operations Research, Vol. 26, No. 4, pp. 67-76. (Scimago Journal Rank: Q4), https://doi.org/10.5711/1082598326467
7. O’Neal, T.*, J. Dickens, L. Champagne, A. Glassburner, J. Anderson, and T. Breitbach. 2021. Sortie-based AC component demand rate to predict requirements. Journal of Defense Analytics and Logistics. Vol. 5 No. 2, pp. 214-223. (Scimago Journal Rank: Q4), https://doi.org/10.1108/JDAL-10-2021-0009
6. Choo, N.*, D. Ahner, and L. Champagne. 2021. The Effects of Aircraft Use and Available Repair Spares on Aircraft Sortie Generation: A Long-Duration Logistical Wargaming Simulation Tool. Journal of Defense Modeling and Simulation. (Scimago Journal Rank: Q2), https://doi.org/10.1177/15485129211040782
5. Bill, J*, L Champagne, B Cox, and T Bihl. 2021. Meta-Heuristic Optimization Methods for Quaternion-Valued Neural Networks. Mathematics 9 (9), 938. (Scimago Journal Rank: Q2), https://doi.org/10.3390/math9090938
4. Bramblett, L*, LE Champagne, and BJ Lunday. 2021. Parameterization and Multiobjective Optimization of Range and Loiter Times for Multiple-Leg, Turbojet Aircraft Mission Profiles. Military Operations Research, 26 (1), 37-58. (Scimago Journal Rank: Q4), https://www.jstor.org/stable/26995957
3. Champagne, L. E. and R. R. Hill, 2009. A Simulation Validation Method Based on Bootstrapping Applied to an Agent-Based Model of the Bay of Biscay Historical Scenario. Journal of Defense Modeling and Simulation: Applications, Methodology, Technology Vol. 6, No. 4, 201-212. (Scimago Journal Rank: Q2), https://doi.org/10.1177/1548512909355797
2. Hill, R., R. G. Carl, L. E. Champagne. 2006. Using Agent Simulation Methods to Examine and Investigate Search Theory Against a Historical Case Study. Journal of Simulation, Vol. 1, No. 1, 29-38. (Scimago Journal Rank: Q2), https://doi.org/10.1057/palgrave.jos.4250003
1. Hill, R., L. E. Champagne, and J. C. Price. 2004. Using Agent-Based Simulation and Game Theory to Examine the WWII Bay of Biscay U-Boat Campaign. Journal of Defense Modeling and Simulation, Vol. 1, No. 2, pp. 99-109. (Scimago Journal Rank: Q2), https://doi.org/10.1177/875647930400100204
Conference Proceedings
12. Hoffendahl, A.*, C. Johnstone, A. Stephens, R. Dill, L. Champagne. 2024. Multi-Objective Multi-Commodity Flow Optimization for Wartime Planning with Cyber-Effects. Proceedings of the 11th International Network Optimization Conference (INOC), pp. 16-21. Dublin, Ireland. March 11 - 13, 2024, https://openproceedings.org/2024/conf/inoc/INOC_18.pdf
11. Reid, D.*, L. Champagne, N. Gaw. 2023. Implementing Efficient Dynamic Threat Avoidance Routing Based on Dijkstra’s Shortest Path Algorithm in the Advance Framework for Simulation, Integration, and Modeling (AFSIM). Proceedings of the 2023 Winter Simulation Conference, C. G. Corlu, S. R. Hunter, H. Lam, B. S. Onggo, J. Shortle, and B. Biller, eds., Institute of Electrical and Electronics Engineers, San Antonio, TX, December 2023.
10. Swize, E.*, L. Champagne, B. Cox, and T. Bihl. 2022. Bayesian Augmentation of Deep Learning to Improve Video Classification. Proceedings of the 55th Hawaii International Conference on System Sciences, pp. 2097-2106. ISBN: 978-0-9981331-5-7. http://hdl.handle.net/10125/79596
9. Talafuse, T., L. Champagne, and E. Gilts*. A Simulation Approach to Address MQ-9 Flying Training Unit Manning Shortfalls. Proceedings of the 2019 Winter Simulation Conference, N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds., Institute of Electrical and Electronics Engineers, Washington, DC, December 2019.
8. Walton, R.*, J.O. Miller, and L. Champagne. Simulating Maritime Chokepoint Disruption in the Global Food Supply. Proceedings of the 2019 Winter Simulation Conference, N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y.-J. Son, eds., Institute of Electrical and Electronics Engineers, Washington, DC, December 2019.
7. Lance E. Champagne and Raymond R. Hill, Agent-Model Validation Based on Historical Data. Proceedings of the 2007 Winter Simulation Conference, S. G. Henderson, B. Biller, M.-H. Hsieh, J. Shortle, J. D. Tew, and R. R. Barton, eds., Institute of Electrical and Electronics Engineers, Washington, DC, December 2007.
6. Champagne, L. and R. R. Hill. December 2005. Simulation Validation with Historic Outcomes. Proceedings of the 2005 Winter Simulation Conference, M. E. Kuhl, N. M. Steiger, F. B. Armstrong, and J. A. Joines, eds., Institute of Electrical and Electronics Engineers, Orlando, FL.
5. Champagne, L., R. G. Carl, and R. Hill. December 2003. Search Theory, Agent-Based Simulation, and U-Boats in the Bay of Biscay. Proceedings of the 2003 Winter Simulation Conference, S. Chick, P. J. Sanchez, D. Ferrin, and D. J. Morrice, eds., Institute of Electrical and Electronics Engineers, New Orleans, LA. pp: 991-998.
4. Champagne, L. December 2003. Bay of Biscay: Extensions into Modern Military Issues. Proceedings of the 2003 Winter Simulation Conference, S. Chick, P. J. Sanchez, D. Ferrin, and D. J. Morrice, eds., Institute of Electrical and Electronics Engineers, New Orleans, LA. pp: 1004-1012.
3. Hill, R., J. C. Price, and L. E. Champagne. July 2003. Agent-Based Modeling with Game Theory Constructs. Proceedings of the Summer Computer Simulation Conference, Montreal Canada.
2. Champagne, L. and R. Hill. May 2003. Multi-Agent Simulation Analysis: Bay of Biscay Case Study. Proceedings of Simulation Technology and Training Conference (SimTecT) 2003, Simulation Industry Association of Australia, Adelaide, Australia, May 26-29.
1. Champagne, L, R. G. Carl, and R. Hill. May 2003. Multi-Agent Techniques: Hunting U-Boats in the Bay of Biscay. Proceedings of Simulation Technology and Training Conference (SimTecT) 2003, Simulation Industry Association of Australia, Adelaide, Australia, May 26-29.
Book Chapters
2. Ledwith, M., R. Hill, L. E. Champagne, and E. D. White. 2025. A Review of Methods for Simulation Validation. Chapter 14, pp. 383-414. Handbook of Military and Defense Operations, 2nd edition. Natalie Scala and James Howard, II, eds., CRC Press. https://10.1201/9871003396307
1. Zeigler, Bernard P., Breno Bernard Nicolau de França, Valdemar Vicente Graciano Neto, Raymond R Hill, Lance E Champagne, Tuncer Ören. (2023) History of Simulation. From: Body of Knowledge for Modeling and Simulation: A Handbook by the Society for Modeling and Simulation International. Springer International Publishing. pp. 413-434. https://doi.org/10.1007/978-3-031-11085-6_17
Other Periodicals, Book Chapters, and Web-Based Publications
Champagne, Lance E. 1999. Evaluation and Analysis of EFX 98 Assessment Experiences and EFX 98 Assessment Evaluation. MS Thesis, Air Force Institute of Technology.
Lance Champagne, Development Approaches Coupled with Verification and Validation Methodologies for Agent-Based Mission-Level Analytical Combat Simulations, PhD Dissertation, Air Force Institute of Technology, March 2004.