This collection on AFIT Scholar presents scholarly works of the faculty of the Air Force Institute of Technology
The Faculty Publications collection accepts scholarly works that are developed under the auspices of AFIT, and accepted for publication in a journal, or for presentation at a conference. All submissions should be approved for public release before submitting to AFIT Scholar
Secondary materials may be submitted along with an article or conference paper, for the purpose of experimental result repeatability.
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Submissions from 2023
Examining the Impact of the COVID-19 Pandemic On Container Carrier Performance, Sunil Hwang and Seong-Jong Joo
Examining the Roles of Buyer Knowledge Protectiveness and Supplier Absorptive Capacity in Joint New Product Development, Sunil Hwang, Seong-Jong Joo, Hokey Min, and John M. Dickens
The Behavior of Partially Coherent Twisted Space-time Beams in Atmospheric Turbulence, Milo W. Hyde IV
Partially Coherent Sources Whose Coherent Modes are Spatiotemporal Optical Vortex Beams, Milo W. Hyde IV, Olga Korotkova, and Mark F. Spencer
Propagation of Spatiotemporal Optical Vortex Beams in Linear, Second-order Dispersive Media, Milo W. Hyde IV and Miguel A. Porras
Distributed Edge Machine Learning Pipeline Scheduling with Reverse Auctions, Connor Imes, David W. King, and John Paul Walters
Using Conformal Win Probability to Predict the Winners of the Canceled 2020 NCAA Basketball Tournaments, Chancellor Johnstone and Dan Nettleton
Reachable Set Approximation in Cislunar Space with Pseudospectral Method and Homotopy, Robert B. Jones, David H. Curtis, and Constantinos Zagaris
Autonomous Multi-phase Rendezvous, Proximity Operations, and Docking via Model Predictive Control, Jeremy J. Kaczmarek and Constantinos Zagaris
Direct Collocation Methods for Hypersonic Trajectory Optimization by the Process of Continuation, Noor Kahn, Michael D. Zollars, and Robert B. MacDermott
Effects of Shock Waves on Shack–Hartmann Wavefront Sensor Data, Matthew Kalensky, Matthew R. Kemnetz, and Mark F. Spencer
Strengthening of Additively Manufactured Tungsten by Use of Hydrogen in Argon Shielding Gas, Ryan A. Kemnitz, Cayla C. Eckley, Brianna M. Sexton, and Alex R. LeSieur
Detailed Characterization of a kHz-rate Laser-Driven Fusion at a Thin Liquid Sheet with a Neutron Detection Suite, Benjamin M. Knight, Connor Gautam, Colton R. Stoner, Bryan V. Egner, Joseph R. Smith, Christopher M. Orban, Juan J. Manfredi, Kyle Frische, Michael L. Dexter, Enam A. Chowdury, and Anil K. Patnaik
Simple and multiple linear regression for probability of detection, Christine E. Knott, Christine M. Schubert Kabban, and John Aldrin
Legendre Pairs of Lengths ℓ ≡ 0 (Mod 5), Ilias S. Kotsireas, Christopher Koutschan, Dursun A. Bulutoglu, David M. Arquette, Jonathan S. Turner, and Kenneth J. Ryan
High Absorption Thermal Blooming: Numerical Steady-State Simulation, Jeremiah S. Lane and Benjamin F. Akers
Numerical Simulation of Steady-state Thermal Blooming with Natural Convection, Jeremiah S. Lane, Justin Cook, Martin Richardson, and Benjamin F. Akers
Classifying Co-Resident Computer Programs Using Information Revealed by Resource Contention, Tor J. Langehaug, Brett J. Borghetti, and Scott R. Graham
Towards Hardware-Based Application Fingerprinting with Microarchitectural Signals for Zero Trust Environments, Tor J. Langehaug and Scott R. Graham
A hybrid cognitive model for machine agents, Joshua A. Lapso, Gilbert L. Peterson, and Michael E. Miller
Probabilities of Agreement for Computational Model Validation, Matthew Ledwith, Raymond R. Hill, Lance E. Champagne, and Edward D. White
A Hierarchical Cluster Approach toward Understanding the Regional Variable in Country Conflict Modeling, Benjamin D. Leiby and Darryl K. Ahner
Multicollinearity Applied Stepwise Stochastic Imputation: A Large Dataset Imputation through Correlation‑based Regression, Benjamin D. Leiby and Darryl K. Ahner
Conservative Estimation of Inertial Sensor Errors Using Allan Variance Data, Kyle A. Lethander and Clark N. Taylor
Improving defensive air battle management by solving a stochastic dynamic assignment problem via approximate dynamic programming, Joseph M. Liles IV, Matthew J. Robbins, and Brian J. Lunday