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 2022

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Delaunay Walk for Fast Nearest Neighbor: Accelerating Correspondence Matching for ICP, James D. Anderson, Ryan M. Raettig, Joshua Larson, Clark N. Taylor, and Thomas Wischgoll

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Magneto-Exothermic Catalytic Chemical Reaction along a Curved Surface, Muhammad Ashraf, Uzma Ahmad, Saqib Zia, Rama S. R. Gorla, Amnah S. Al-Johani, Ilyas Khan, and Mulugeta Andualem

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Evaluating Climatic Influences on the Technical Performance of Built Infrastructure Assets, Sarah L. Brown, Steven J. Schuldt, Michael N. Grussing, Michael A. Johnson, and Justin D. Delorit

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Utilization and Efficient Computation of Polarization Factor Q for Fast, Accurate BRDF Modeling, Samuel D. Butler and Michael A. Marciniak

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Shock Front Detachment during Pulsed Laser Ablation of Graphite, Timothy I. Calver, Michael B. Shattan, and Glen P. Perram

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A Comparison of Sporadic-E Occurrence Rates Using GPS Radio Occultation and Ionosonde Measurements, Rodney Carmona, Omar A. Nava, Eugene V. Dao, and Daniel J. Emmons

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Noncontact liquid crystalline broadband optoacoustic sensors [U.S. Patent US11366054B2], Hengky Chandrahalim and Michael T. Dela Cruz

Closed-Loop Linear Covariance Framework for Path Planning in Static Uncertain Obstacle Fields, Randall Christensen, Greg Droge, and Robert C. Leishman

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Sensitivity of Single-Pulse Radar Detection to Aircraft Pose Uncertainties, Austin Costley, Randall Christensen, Greg Droge, and Robert C. Leishman

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Analytical Aircraft State and IMU Signal Generator from Smoothed Reference Trajectory, Austin Costley, Randall Christensen, Robert C. Leishman, and Greg Droge

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Composite Style Pixel and Point Convolution-Based Deep Fusion Neural Network Architecture for the Semantic Segmentation of Hyperspectral and Lidar Data, Kevin T. Decker and Brett J. Borghetti

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Event-based Imaging Polarimeter, Michael L. Dexter and Michael R. Hawks

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Infrastructure Decision-Making under Climate Change Uncertainty: Case Study of Centralized Heating at Wright-Patterson AFB, Ohio, Tyler A. Ferry, Justin D. Delorit, and Christopher M. Chini

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A Statistical Principal Component Regression-Based Approach to Modeling the Degradative Effects of Local Climate and Traffic on Airfield Pavement Performance, Evan M. Fortney, Steven J. Schuldt, Sarah L. Brown, James P. Allen, and Justin D. Delorit

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Studying the Conditions for Magnetic Reconnection in Solar Flares with and without Precursor Flares, Seth H. Garland, Daniel J. Emmons, and Robert D. Loper

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Considerations for Radio Frequency Fingerprinting across Multiple Frequency Channels, Jose A. Gutierrez del Arroyo, Brett J. Borghetti, and Michael A. Temple

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Development of High Density Parts in the Low-Alloy, High-Performance Steel AF9628 Using Laser Powder Bed Fusion, E. M. Hager, Ryan P. O'Hara, Gregory R. Cobb, P. J. Flater, V. Sinha, Benjamin M. Doane, and Ryan A. Kemnitz

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Pseudo-modal Expansions for Generating Random Electromagnetic Beams, Milo W. Hyde IV and Olga Korotkova

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Identification of Return-Oriented Programming Attacks Using RISC-V Instruction Trace Data, Daniel F. Koranek, Scott R. Graham, Brett J. Borghetti, and Wayne C. Henry

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MADFAM: MicroArchitectural Data Framework and Methodology, Tor J. Langehaug, Scott R. Graham, Christine M. Schubert Kabban, and Brett J. Borghetti

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Factored Beliefs for Machine Agents in Decentralized Partially Observable Markov Decision Processes, Joshua Lapso and Gilbert L. Peterson

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Development of advanced machine learning models for analysis of plutonium surrogate optical emission spectra, Ashwin P. Rao, Phillip R. Jenkins, John D. Auxier II, Michael B. Shattan, and Anil Patnaik

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Automated Computer Network Exploitation with Bayesian Decision Networks, Graeme Roberts and Gilbert L. Peterson

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Application of Machine Learning to Predict the Performance of an EMIPG Reactor Using Data from Numerical Simulations, Owen Sedej, Eric G. Mbonimpa, Trevor Sleight, and Jeremy Slagley

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Biomechanical and Psychological Predictors of Failure in the Air Force Physical Fitness Test, Jeffrey Turner, Torrey Wagner, and Brent T. Langhals