MAJ Hayden Deverill

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MAJ Hayden Deverill

Senior Instructor

hayden.deverill@westpoint.edu

Biography

MAJ Deverill graduated USMA in 2012, commissioning as an Engineer Officer.  After the Engineer Basic Officer Leader Course, MAJ Deverill served as a Platoon Leader and Battalion Assistant Operations Officer in the 62nd Engineer Battalion, 36th Engineer Brigade both at Fort Hood, TX and Liberia in support of Operation United Assistance.  Following the Engineer Captain’s Career Course, MAJ Deverill served as the Battalion Operations Officer of the 31st Engineer Battalion, 1st Engineer Brigade at Fort Leonard Wood, MO. He then served as the Company Commander of B Company, 35th Engineer Battalion, 1st Engineer Brigade at Fort Leonard Wood, MO.  Upon completing company command, MAJ Deverill attended the University of Virginia earning a Master of Science in Systems Engineering.  MAJ Deverill currently serves an Instructor in the Department of Mathematical Sciences.

Ongoing Research Projects

J. Scudder, H. Deverill, J. Paynter, et al., “Generative Artificial Intelligence in Undergraduate Research
at the US Military Academy,” Journal of Military Learning, vol. TBD, Submitted in May 2024, under review.

S. Ali, H. Deverill, J. Lindquist, and J. Roginski, “Human and Machine Partnership: Natural Language
Processing of Army Insider Threat Hub Data,” Work in progress, to be submitted August 2024.

Publications & Presentations

Publications

H. A. Deverill, W. T. Scherer, M. D. Porter, and A. C. Stam, “The Utility of Machine Learning Applied
to Military Assessment and Selection,” Military Operations Research Journal, vol. 29, no. 2, pp. 53–94, 2024. url: https://www.jstor.org/stable/27317896.

Presentations

H. Deverill, J. Scudder, J. Paynter, and J. Bluman, “The Impact of Generative Artificial Intelligence in Undergraduate Research: A USMA Perspective,” in Proceedings of the 2024 Army Operations Research Symposium: "Impacting Commander and Senior Leader Decisions through Analysis" (AORS 2024), Presentation, Aberdeen Proving Ground, MD, 2024.

H. Deverill, J. Scudder, J. Paynter, and J. Bluman, “Generative Artificial Intelligence in Undergraduate
Research at the US Military Academy,” in Proceedings of the 2024 Army University Learning Symposium: "Artificial Intelligence Applications for Learning" (AULS 2024), Poster, Presentation, and Question & Answer, Fort Leavenworth, KS, 2024.

H. A. Deverill, W. T. Scherer, M. D. Porter, and A. C. Stam, “Modeling Candidate Success Using
Military Assessment and Selection Data,” in Proceedings of the University of Virginia Engineering
Symposium (UVERS 2022), Poster, Charlottesville, VA, 2022.

H. A. Deverill, W. T. Scherer, M. D. Porter, and A. C. Stam, “The Utility of Machine Learning Applied
to Military Assessment and Selection,” in Proceedings of the 90th Military Operations Research Society Symposium: “Innovative Analysts Supporting Integrated Deterrence" (MORS 2022), Presentation, Quantico, VA, 2022.