
Bruce A. Cox
Associate Professor · Large Scale Optimization
Air Force Institute of TechnologyAbout
Dr. Bruce A. Cox is an Associate Professor at the Air Force Institute of Technology and chairs the Data Science Master’s program. He actively contributes to research in large-scale optimization, neural networks, and generative adversarial networks while serving in professional roles like Vice President of the Cincinnati/Dayton Chapter of INFORMS.
- 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
His research focuses on large scale optimization, heuristic search, neural networks, and generative adversarial networks, with applications in defense, cybersecurity, and military operations. Recent work explores:
- Quaternion neural networks for complex data processing
- Adversarial example generation in cybersecurity
- Blended GAN images for data augmentation
- Bidirectional LSTM for multilingual sentiment analysis
- Optimal asset location modeling for search and rescue
- Resilient supply networks in Africa
Publications demonstrate expertise in optimization techniques, machine learning applications, and military operations research. Key journals include Expert Systems With Applications, Optimization Letters, and Mathematical Programming Series B.
Scientific Awards & Recognition:
- 2022-2023 Dean's Distinguished Teaching Professor
- Bronze Star
- Defense Meritorious Service Medal
- NATO Medal
- Multiple Air Force decorations
Dr. Cox has advised students in diverse research areas including network intrusion detection, LSTM applications, and defense modeling. He contributes to academic leadership through INFORMS and the Military Operations Research Society.
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