Dr. Bruce A. Cox, Ph.D.
Dr Cox is an Assistant Professor at the Air Force Institute of Technology and serves as chair of the Data Science Master’s program. His research interests include large scale optimization, heuristic search, neural networks, and generative adversarial networks. He is the Vice President of the Cincinnati/Dayton Chapter of the Institute for Operations Research and Management Sciences (INFORMS) and a member of the Military Operations Research Society (MORS).
Education
Doctor of Philosophy (Ph.D.), Industrial Engineering, Georgia Institute of Technology, 2011
Master of Science (M.S.), Mathematics, Virginia Commonwealth University, 2005
Bachelor of Science (B.S.), Mathematics, Worcester Polytechnic Institute, 1999
Awards
TEACHING AWARDS
2022-2023 Graduate School of Engineering and Mathematics Dean's Distinguished Teaching Professor
MILITARY AWARDS AND DECORATIONS
Bronze Star
Defense Meritorious Service Medal with one oak leaf cluster
Meritorious Service Medal
Air Force Commendation Medal with one oak leaf cluster
Air Force Achievement Medal
Air Force Recognition Ribbon (AFA's Howard W. Leaf Award)
National Defense Service Medal
Global War on Terrorism Expeditionary Medal
Global War on Terrorism Service Medal
AF Overseas Ribbon Short
Air Force Expeditionary Service Ribbon with Gold Border
AF Longevity Service with two oak leaf clusters
Small Arms Expert Markmanship Ribbon with oak leaf cluster
AF Training Ribbon
NATO Medal
Publications
REFEREED JOURNAL ARTICLES
1. Bill*, J., Cox, B., and Champagne, L., “A Comparison of Quaternion Neural Network Backpropagation Algorithms”, Expert Systems With Applications (Scimago Journal Rank: Q1). Published online: June 2023. Available online at: https://doi.org/10.1016/j.eswa.2023.120448
2. Chale*, M., Cox, B., and Bastian, N. “Constrained Optimization Based Adversarial Example Generation for Transfer Attacks in Network Intrusion Detection Systems”, Optimization Letters (Scimago Journal Rank: Q2). In print: May 2023. Available online at: https://doi.org/10.1007/s11590-023-02007-7
3. McCloskey*, B., Cox, B., Champagne, L., and Bihl, T. “Benefits of Using Blended Generative Adversarial Network Images to Augment Classification Model Training Datasets” Journal of Defense Modeling and Simulation (Scimago Journal Rank: Q3). Published online: April 2023. Available online at: https://doi.org/10.1177/15485129231170225
4. Glenn*, A., LaCasse, P, and Cox, B., “Emotion classification of Indonesian Tweets using Bidirectional LSTM.” Neural Computing and Applications (Scimago Journal Rank: Q1). Published online: Feb 2023. Available online at: https://doi.org/10.1007/s00521-022-08186-1
5. Hornberger*, Z., Cox, B., and Lunday, B., “Optimal Heterogeneous Search and Rescue Asset Location Modeling for Expected Spatiotemporal Demands using Historic Event Data.” Journal of the Operational Research Society (Scimago Journal Rank: Q1). In print: May 2022. Available online at: https://doi.org/10.1080/01605682.2021.1877576
6. Zawadzki, M., Montibeller, G., Cox, B., and Belderrain, C., “Deterrence against terrorist attacks in sportsmega events: A method to identify the optimal portfolio of defensive countermeasures.” Risk Analysis (Scimago Journal Rank: Q1). In print: Mar 2022. Available online at: https://doi.org/10.1111/risa.13794
7. Preston*, J, Cox, B., Rebeiz, P., and Breitbach, T., “Developing a Resilient, Robust and Efficient Supply Network in Africa.” Journal of Defense Analytics and Logistics (Scimago Journal Rank: N/A). In print: Dec 2021. Available online at: https://www.emerald.com/insight/content/doi/10.1108/JDAL-09-2021- 0006/full/html
8. Hornberger*, Z., Cox, B., and Hill, R., "Analysis of the Effects of Spatiotemporal Demand Data Aggregation Methods on Distance and Volume Errors.” Journal of Defense Analytics and Logistic (Scimago Journal Rank: N/A). In print: Aug 2021. Available online at: https://doi.org/10.1108/JDAL-03- 2020-0003
9. Bill*, J., Champagne, L., Cox, B., and Bihl, T., “Meta-Heuristic Optimization Methods for QuaternionValued Neural Networks.” Mathematics (Scimago Journal Rank: Q2). In print: April 2021. Available online at: https://doi.org/10.3390/math9090938
10. Jackovich*, P., Cox, B., and Hill, R., “Comparing Greedy Constructive Heuristic Subtour Elimination Methods for the Traveling Salesman Problem.” Journal of Defense Analytics and Logistics (Scimago Journal Rank: N/A). In print: Dec 2020. Available online at: https://doi.org/10.1108/JDAL-09-2020-0018
11. Cox, B., Juditsky, A., and Nemirovski, A. “Decomposition Techniques for Bilinear Saddle Point Problems and Variational Inequalities with Affine Monotone Operators.” Journal of Optimization Theory and Applications (Scimago Journal Rank: Q1), Volume 172, pp 402–435, (Feb 2017). Available online at: https://doi.org/10.1007/s10957-016-0949-3
12. Cox, B., Juditsky, A., and Nemirovski, A. “Dual subgradient algorithms for large-scale nonsmooth learning problems.” Mathematical Programming Series B (Scimago Journal Rank: Q1), 148:1-2 (Dec 2014). Available online at: https://doi.org/10.1007/s10107-013-0725-1