Dr. Brett J. Borghetti, Associate Professor of Computer Science

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Comm: 937-255-3636 x4612
DSN: 785-3636 x4612
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Publications

* Denotes student, ** Denotes Research Assistant

Book Chapters

  1. Funke, G., Dye, G.*, Borghetti, B.J., Mancuso, V., Greenlee, E., Miller, B., Menke, L., Brown, R., and Vieane, A., “Development and Validation of the Air Force Cyber Intruder Alert Testbed (CIAT)”, Advances in human factors in cybersecurity, pp. 363-376. Springer, Switzerland, 2016.
    DOI 10.1007/978-3-319-41932-9_30
    https://www.researchgate.net/profile/Gregory_Funke/publication/305082248_Development_and_Validation_of_the_Air_Force_Cyber_Intruder_Alert_Testbed_CIAT/links/5a66439fa6fdccb61c5a71f6/Development-and-Validation-of-the-Air-Force-Cyber-Intruder-Alert-Testbed-CIAT.pdf
  2. Borghetti, B.J. and Gini, M., “Weighted Prediction Divergence for Metareasoning”, Metareasoning-thinking about thinking, M. Cox and A. Raja, Eds., (Chapter 16) MIT Press, Cambridge, MA, 2011 (ISBN-10 0-262-01480-7).

 Journal Publications

  1. *Kamrud, Alexander J., Borghetti, Brett, J., Schubert Kabban, C. M., and Miller, Michael E., “Generalized Deep Learning EEG Models for Cross-Participant and Cross-Task Detection of the Vigilance Decrement in Sustained Attention Tasks”, Sensors Journal, Special Issue on EEG Signal Processing for Biomedical Applications 21(16), 5617, MDPI, 20 Aug 2021
    https://www.mdpi.com/1424-8220/21/16/5617 ; https://doi.org/10.3390/s21165617
  2. *Kamrud, Alexander J., Borghetti, Brett, J., Schubert Kabban, C. M., “The Effects of Individual Differences, Non-Stationarity, and the Importance of Data Partitioning Decisions for Training and Testing of EEG Cross-Participant Models”, Sensors Journal, Special Issue on Intelligent Biosignal Analysis Methods., 21(9), 3225, MDPI, 6 May 2021
    https://www.mdpi.com/1424-8220/21/9/3225 ; https://doi.org/10.3390/s21093225
  3. *Langehaug, Tor J., Borghetti, Brett J., and Graham, Scott R., “Classifying Co-resident Computer Programs Using Information Revealed by Resource Contention,” DTRAP: Journal of Digital Threats and Practices, Association for Computing Machinery, Vol 0, number ‘ja’, Accepted online, 29 April 2021   https://doi.org/10.1145/3464306
  4. *Westing, Nicholas M., Gross, Kevin C., Borghetti, Brett, J., Schubert Kabban, C. M., “Multimodal Representation Learning and Set Attention for LWIR In-Scene Atmospheric Compensation” IEEE Journal of Selected Topics In Applied Earth Observations and Remote Sensing, (IEEE Early Access, 28 Oct 2020).  DOI: 10.1109/JSTARS.2020.3034421. https://ieeexplore.ieee.org/abstract/document/9242299
  5. *Dickey, Joshua, T., Borghetti, Brett, J., Junek, William, and Martin, Richard “BazNet: A Deep Neural Network for Confident Three-component Backazimuth Prediction” Pure and Applied Geophysics, 9 Oct 2020 https://link.springer.com/article/10.1007/s00024-020-02578-x
  6. *Lee, Andrew T., *Dallmann, William E., Nykl, Scott L., Taylor, Clark N., and Borghetti, Brett, J., “Long Range Pose Estimation for Aerial Refueling Approaches Using Deep Neural Networks” AIAA: Journal of Aerospace Information Systems, Vol. 17, No. 11 (11 Nov 2020), pp. 634-646 doi: doi/abs/10.2514/1.I010842 https://arc.aiaa.org/doi/10.2514/1.I010842
  7. *Westing, Nicholas M., Gross, Kevin C., Borghetti, Brett, J., Martin, Jacob, and Meola, Joseph,  “Learning Set Representations for LWIR In-Scene Atmospheric Compensation” IEEE Journal of Selected Topics In Applied Earth Observations and Remote Sensing, 2 Apr 2020, Vol 13, pp 1438-1449
    https://ieeexplore.ieee.org/document/9055124
  8. *Dickey, Joshua, T., Borghetti, Brett, J., Junek, William, and Martin, Richard “Beyond Correlation: A Path-invariant Measure for Seismogram Similarity” Seismological Research Letters, 6 Nov 2019, Vol 91, pp 356-369
    DOI: 10.1785/0220190090  
    https://pubs.geoscienceworld.org/srl/article-pdf/doi/10.1785/0220190090/4862061/srl-2019090.1.pdf
  9. *Westing, Nicholas M., Borghetti, Brett, J., Gross, Kevin C., “Fast and Effective Techniques for LWIR Radiative Transfer Modeling: A Dimension Reduction Approach”, Remote Sensing (MDPI), 9 Aug 2019, Vol 11, issue 6, pp. 1866-1886, DOI: 10.3390/rs11161866
    https://www.mdpi.com/2072-4292/11/16/1866/htm
  10. *Dickey, Joshua T., Borghetti, Brett J., and Junek, William, “Improving Regional and Teleseismic Detection for Single-Trace Waveforms Using a Deep Temporal Convolutional Neural Network Trained with an Array-Beam Catalog”, Sensors (MDPI), 31 Jan 2019, Vol 19, issue 3, pp 597-618, DOI: 10.3390/s19030597
    https://www.mdpi.com/1424-8220/19/3/597
  11. *Curro, Joseph A., Raquet, John F., Borghetti, Brett J., “Navigation Using VLF Signals with Artificial Neural Networks” Journal of the Institute of Navigation, 5 Dec 2018, pp. 1-13.  https://onlinelibrary.wiley.com/doi/epdf/10.1002/navi.264
  12. *Hefron, Ryan G., Borghetti, Brett J., Christensen, James C., Schubert Kabban, Christine M., Estepp, Justin R., Cross-Participant EEG-Based Assessment of Cognitive Workload Using Multi-Path Convolutional Recurrent Neural Networks,” Sensors (MDPI), Vol 18(5), 26 April 2018, Article Number 1339, pp 1-27.   DOI:10.3390/s18051339.  http://www.mdpi.com/1424-8220/18/5/1339 
  13. Rusnock, C.F., and Borghetti, Brett J., “Workload Profiles: A continuous Measure of Mental workload”, International Journal of Industrial Ergonomics, Vol 63, Jan 2018, pp 49-64. http://www.sciencedirect.com/science/article/pii/S0169814116301287
  14. *Hefron, Ryan G., Borghetti, Brett J., Christensen, James C., Schubert Kabban, Christine M., Deep long short-term memory structures model temporal dependencies improving cognitive workload estimation,” Pattern Recognition Letters (IEEE), Vol 94, 15 July 2017, pp 96-104. https://www.sciencedirect.com/science/article/pii/S0167865517301678
  15. Borghetti, B.J., Giametta, J.J*., & Rusnock, C.F., “Assessing Continuous Operator Workload with a Hybrid Scaffolded Neuroergonomic Modeling Approach,” Human Factors, Vol 59, No. 1, Feb 2017, pp 134-146. DOI: 10.1177/0018720816672308
    http://journals.sagepub.com/doi/abs/10.1177/0018720816672308
  16. *Weller-Fahy, D. J.*, Borghetti, B.J., and Sodemann, A.A., “A Survey of Distance and Similarity Measures used within Network Intrusion Anomaly Detection”, IEEE Communication Surveys and Tutorials, vol. 17, no. 1, pp. 70-91, 11 July 2014, DOI 10.1109/COMST.2014.2336610
    https://ieeexplore.ieee.org/abstract/document/6853338
  17. **Sodemann, A.A., *Ross, M.P., and Borghetti, B.J., “A Review of Anomaly Detection in Automated Surveillance”, IEEE Transactions on System, Man, and Cybernetics Part C, vol. 42, No. 6, 12 December 2012,  pp 1257-1272.  DOI 10.1109/TSMCC.2012.2215319
    https://ieeexplore.ieee.org/abstract/document/6392472
  18. *Borowski, J., Hopkinson, K.,  Humphries J.,  Borghetti, B.J., “Reputation-Based Trust for a Cooperative Agent-Based Backup Protection Scheme” IEEE Transactions on Smart Grid, Vol 2, Issue 2, 5 April 2011, pp 287-301.
    DOI: 10.1109/TSG.2011.2118240
    https://ieeexplore.ieee.org/document/5740978
  19. *Weissgerber, K., Lamont, G.B., Borghetti, B.J., Peterson, G.L., “Determining Solution Space characteristics for Real Time Strategy Games and Characterizing Winning Strategies”, International Journal of Computer Games Technology, vol. 2011, 3 July 2011, pp 1-17. DOI:  10.1155/2011/834026.
    https://www.hindawi.com/journals/ijcgt/2011/834026/
  20. Thomas, R.W., Borghetti, B.J., Komali, R.S. Mahonen, P., “Understanding Conditions that Lead to Emulation Attacks in Dynamic Spectrum Access”  IEEE Communications Magazine, Vol 49 No. 3, 7 March 2011, pp 32-37.
    DOI: 10.1109/MCOM.2011.5723797
    https://ieeexplore.ieee.org/document/5723797
  21. Borghetti, B.J., “The Environment-Value of an Opponent Model”, IEEE Transactions on Systems, Man, and Cybernetics Part B, special issue on Game Theory, Issue 99, 3 Nov 2009 pp 1-11 (Print: Volume 40, No. 3 pp 623-633)
    DOI: 10.1109/TSMCB.2009.2033703
    https://ieeexplore.ieee.org/abstract/document/5308299

Refereed Conference Publications

  1. *Gallaher, Joshua P., *Kamrud, Alexander J., Borghetti, Brett J., “Detection and Mitigation of Inefficient Visual Searching”, Human Factors and Ergonomics Society (HFES) Annual Conference, 2020, (Virtual), 5-9 Oct 2020.
    https://journals.sagepub.com/doi/pdf/10.1177/1071181320641015

  2. *Crow, David R., Graham, Scott R., Borghetti, Brett J., Sweeney, Patrick J., “Empirical Dynamic Modeling as a Basis for an Intrusion Detection System” 14th International Conference on Critical Infrastructure Protection (IFIP), Arlington, VA, USA, Mar 2020
  3. *Villarreal, Micah N., *Kamrud, Alexander J., Borghetti, Brett J., “Confirmation Bias Estimation from Electroencephalography with Machine Learning”, Human Factors and Ergonomics Society (HFES) Annual Conference, 2019, Seattle, WA, 28 Oct-1 Nov 2019.
  4. Skouson, Mark B., Borghetti, Brett J., Leishman, Robert C., Ursa: A Neural Network for Unordered Point Clouds Using Constellations”, Computer Vision Conference (CVC) 2019, Las Vegas, NV, 25-26 Apr 2019.
  5. *Sinn, Yong U., Hopkinson, Kenneth M., Borghetti, Brett J., Steward, Bryan J., “IR Small Target Detection And Prediction With ANNs Trained Using ASSET”, IEEE Aerospace Conference, Big Sky, MT, 2-9 Mar 2019
  6. *Sample, Kenneth, Lin, Alan, C., Borghetti, Brett J., Peterson, Gilbert, L., Predicting Trouble Ticket Resolution”, Proceedings of the 31st International Florida Artificial Intelligence Research Society Conference, Melbourne, FL, 21-23 May 2018.
    https://www.aaai.org/ocs/index.php/FLAIRS/FLAIRS18/paper/download/17678/16882
  7. Vieane, Alex, Funke, Gregory, Greenlee, Eric, Mancuso, Vincent, Borghetti, Brett J., Miller, Brent, Menke, Lauren, Brown, Rebecca, Foroughi, Cyrus, K., and Boehm-Davis, Deborah, “Task Interruptions Undermine Cyber Defense”, Proceedings of the 2017 Human Factors and Ergonomics Society International Conference, Austin, TX, 9-13 October 2017 (Mark Resnick Best Paper Award Winner)
    https://www.researchgate.net/publication/320093832_Task_Interruptions_Undermine_Cyber_Defense
  8. Mash, R.L.*, Borghetti, B.J., Pecarina, J.M., “Improved Aircraft Recognition for Aerial Refueling through Data Augmentation in Convolutional Neural Networks ”, Proceedings of the 12th International Symposium on Visual Computing (ISVC’16), December 12-14, 2016, Las Vegas, Nevada, USA
  9. Hefron, R.G.*, Borghetti, B.J. “A New Feature for Cross-day Psychophysiological Workload Estimation, ” 15th IEEE International Conference on Machine Learning and Applications (ICMLA’16), December 18-20, 2016, Anaheim, California, USA
  10. Borghetti, B.J., Giametta, J.J.*, and Rusnock, C.F., “Estimating Continuous Operator Workload From Small Subject Samples”, Proceedings of the 2016 Human Factors and Ergonomics Society International Conference, Washington DC, 19-23 Sep 2016.
  11. Vieane, A., Funke, G., Mancuso, V., Greenlee, E., Dye, G.*, Borghetti, B.J., Miller, B., Menke, L., and Brown, R., “Coordinated Displays to Assist Cyber Defenders”, Proceedings of the 2016 Human Factors and Ergonomics Society International Conference, Washington DC, 19-23 Sep 2016  (Mark Resnick Best Paper Award Winner)
    https://journals.sagepub.com/doi/pdf/10.1177/1541931213601078
  12. Giametta, J.J.*, and Borghetti, B.J., “EEG-based Secondary Task Detection in a Multiple Objective Operational Environment”,  Proceedings of the 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA), Miami, FL, 9-11 Dec 2015, pp 608-613.
  13. Smith, A.M.*, Borghetti, B.J., and Rusnock, C.F., “Improving Model Cross-Applicability for Operator Workload Estimation”, Proceedings of the 2015 Human Factors and Ergonomics Society International Conference, Los Angeles, CA, 26-30 Oct 2015, vol. 59, pp 681-685.
  14. Boeke, D.K*., Miller, M.E., Rusnock, C.F., Borghetti, B.J., “Exploring Individualized Objective Workload Prediction with Feedback for Adaptive Automation”  Proceedings of the 2015 Institute of Industrial Engineers(IIE)Industrial & Systems Engineering Research Conference, (ISERC) , Nashville, TN, 30 May-2 Jun, 2015., pp. 1437-1446.
  15. Shirey, R.G.*, Hopkinson, K.M., Stewart, K.E.*, Hodson, D.D. and Borghetti, B.J., “Analysis of Implementations to Secure Git for Use as an Encrypted Distributed Version Control System”, 48th IEEE Hawaii International Conference on System Sciences, 2015, pp 1530-1605.  http://conferences.computer.org/hicss/2015/papers/7367f310.pdf
  16. Kwak, H., Borghetti, B.J., “Reducing Communication Detection and Eavesdropping using Mobile Agent Relay Networks”, Proceedings of the Winter Simulation Conference (WSC) 2010, 5-8 December, 2010, pp 2832-2841
  17. *Weissgerber, K., Borghetti, B.J., Peterson, G.L., “An Effective and Efficient Real Time Strategy Agent,” Florida Artificial Intelligence Research Society Conference (May 2010).
  18. Thomas R.W., Komali, R.S., Borghetti, B.J., Mahonen, P., “A Bayesian Game Analysis of Emulation Attacks in Dynamic Spectrum Access Networks” IEEE Dynamic Spectrum Access Networks (DySPAN) (April, 2010)
  19. *Hooper, D.J., Peterson, G.L., Borghetti, B.J., “Dynamic Coalition Formation Under Uncertainty”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2009), October 2009, St. Louis, MO.
  20. *Weissgerber, K., Borghetti, B.J., Lamont, G.B, Mendenhall, M., “Towards Automated Feature Selection in Real-Time Strategy Games,”  GAMEON-North America-09 (August 2009), [best paper award winner].
  21. *Borghetti, B.J., and Gini, M., “Weighted Prediction Divergence for Metareasoning”:  Association for the Advancement of Artificial Intelligence (AAAI2008) Workshop on Metareasoning, Chicago, IL, July 2008
  22. *Borghetti, B.J., Sodomka, E., Collins, J. and Gini, M., “A Market-Pressure-Based Performance Evaluator for TAC-SCM”:  Trading Agent Design and Analysis & Agent Mediated Electronic Commerce VIII Joint workshop at Autonomous Agents and Multi-Agent Systems Conference (AAMAS), Hakodate, Japan, May, 2006
  23. *Borghetti, B.J.,  Williams, E., Santos, E. Jr., “Inferencing Over Incomplete Solution Spaces with Genetic Algorithms for Probabilistic Reasoning”: Midwest Artificial Intelligence and Cognitive Science Conference  February 1996

Conference Publications (Refereed Abstract)

  1. *Brinker, Marcus W., Bickley, Abigail A., Borghetti, Brett J., Goldblum, Bethany F., Whetzel, Jonathan H., and Bevins, James E., “Machine Learning-Based Characterization of Nuclear Fuel Cycle Operations”, IEEE Symposium on Radiation Measurements and Applications (SORMA) West, 27 May 2021
  2. *Crow, David R., Graham, Scott R., Borghetti, Brett J., “Fingerprinting Vehicles with CAN Bus Data Samples”, 15th International Conference on Cyber Warfare and Security (ICIW), Norfolk, VA, Feb 2020
  3. *Westing, Nicholas M., Borghetti, Brett J., Gross, Kevin C., “Analysis of Long-Wave Infrared Hyperspectral Classification Performance Across Changing Scene Illumination”, SPIE Defense and Commercial Sensing Baltimore, MD, 14-18 April, 2019.
  4. *Anthony, Keith D., Borghetti, Brett J., Steward, Brian J., “Initial Investigation into the Effect of Image Degradation on the Performance of a 3-Category Classifier Using Transfer Learning and Data Augmentation”, SPIE Defense and Commercial Sensing Baltimore, MD, 14-18 April, 2019.
  5. *Berhold, J. Mark, Leishman, Robert C., Borghetti, Brett J., Venable, Donald T., Hyperparameter Comparison on Convolutional Neural Network for Visual Aerial Localization, Institute of Navigation (ION) Pacific Position Navigation Timing (PNT) conference, Honolulu, HI, 8-11 April 2019.
  6. *McQuaid, Ian, Merkle, Laurence D., Borghetti, Brett J., Cobb, Richard, Fletcher, Justin “Space Object Identification Using Deep Neural Networks” Advanced Maui Optical and Space Surveillance Technologies Conference (AMOS), 11-14 September 2018, Maui, HI  https://amostech.com/TechnicalPapers/2018/Astrodynamics/McQuaid.pdf
  7. *Jackson, Bryan V., Miller, Michael E., Borghetti, Brett, J., Invoking Steady-State Visual Potentials Through Near Infrared Signals”, Institute of Industrial and Systems Engineers (IISE) Industrial Systems Engineering Research Conference (ISERC) 2018.
  8. Funke, G., Dye, G.*, Borghetti, B.J., Mancuso, V., Greenlee, E., Miller, B., Menke, L., Brown, R., and Vieane, A., “Development and Validation of the Air Force Cyber Intruder Alert Testbed (CIAT)”, 7th International Conference on Applied Human Factors and Ergonomics (AHFE), Orlando, FL, 27-31 July 2016
  9. Borghetti, B.J., and Rusnock, C.F., “Introduction to Real-Time State Assessment”, 18th International Conference on Human-Computer Interaction (HCII), Toronto, Canada, 17-21 July 2016)
  10. Rusnock, C.F., Borghetti, B.J., and McQuaid, I.W**., “Objective-Analytical Measures of Workload – the Third Pillar of Workload Triangulation”  9th International conference on Augmented Cognition, 17th international Conference on Human-Computer Interaction Los Angeles, CA, 2-7 Aug 2015.  LLNCS vol 9183, pp. 124-135.
  11. Sullivan, N.M.*, Borghetti, B.J., and Coutu, R.A., “Energy Harvesting & Recapture from Human Subjects: Dual-Stage Thermal MEMS Energy Converter”, IEEE Conference on Reliability Science for Advanced Materials and Devices (RSAMD), Golden, CO, 7?9 Sep, 2014
  12. *Borghetti, B.J., *Sodomka, E., “Performance Evaluation Methods for the Trading Agent Competition”  Student abstract and poster program at Association for the Advancement of Artificial Intelligence (AAAI), July, 2006.

Other Publications

  1. Borghetti, Brett J., Bickley, Abigail A., Noel, George E., Hill, Raymond R., and Schubert Kabban, Christine M., “Artificial Intelligence: Automating Data Analysis Decision-Making (Machine Learning Improves Many Air Force Missions)” AFIT ENgineer newsletter, special edition on Artificial Intelligence, Vol 2, Issue 4, Dec 2020.   https://www.afit.edu/EN/doclib.cfm?dl=135; https://www.afit.edu/docs/AFIT%20Engineer%20Dec2020_WEB.pdf

  2. *Borghetti, B.J., “Inference Algorithm Performance and Selection Under Constrained Resources,” Master’s Thesis: December 1996

  3. *Borghetti, B.J., “Opponent Modeling in Interesting Adversarial Environments,”  Doctoral Dissertation, Aug 2008

  4. Thomas, R. W, Borghetti, B.J., “IA Implications for Software Defined Radio, Cognitive Radio and Networks”, IA Newsletter, Information Assurance Technical Analysis Center, Vol. 12, No. 1, Spring 2009, pp. 20-24.

Invention Disclosures

  1. Miller, Michael, E, Borghetti, Brett, J., Stephens, Chad, Kennedy, Kellie,  “Display System Interface Using Visually-Evoked Cortical Potentials (VECP)”, 25 April 201

Invited Talks and Presentations 

  1. Lau, Nathan, Boyle, Linda, Borghetti, B.J., Friedman, Lex, Barnes, Laura, Hildebrandt, Michael, Lee, John D., Panel Discussion:  Machine Learning and Human Factors:  Status, Applications & Future Directions, Invited Panel at Human Factors and Ergonomics Society Annual Conference, Philadelphia, PA 1-5 Oct 2018.
  2. Borghetti, B.J., et al. Panel discussion on Teaching Excellence (6 faculty members).  AFIT/EN Faculty Development Monthly Seminar, 30 Aug 2017
  3. Borghetti, B.J., Machine Learning, a Gentle Introduction.  Association of Computing Machinery (ACM) colloquium, Cedarville University, Cedarville, OH,  21 March 2017
  4. Rusnock, C.F., Borghetti, B.J., “Assessing Mental Workload by Combining Model-based and Psychophysiological Measurement Approaches”  Institute of Industrial Engineers (IIE) Industrial Systems Engineering Research Conference (ISERC)May 21-24, 2016
  5. Rusnock, C.F., Borghetti, B.J., and McQuaid, I.W., “Predicting Operator Workload Using a Combined Modeling Approach”  AFIT-AFRL Colloquium - Human Machine Systems 2.0, 30 Sep 2014
  6. Miller, M.E., Peterson, G.L., Rusnock, C.F., and Borghetti, B.J., “AFIT Adaptive Automation Research Portfolio,” Ahead Autonomy Research Showcase 10 December 2013, Dayton, OH.
  7. Borghetti, B.J. “Anomaly Detection Through Behavior Signatures”, Invited Presentation, 3rd International Symposium on Resilient Control Systems, Idaho Falls, ID, Aug 2010.

* Denotes student, ** Denotes Research Assistant

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