Phillip R. Jenkins

According to our database, Phillip R. Jenkins authored at least 15 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Student-Pilot Error Prediction via Multimodal Physiological Signals and Tree-Based Models.

Gregory Barry, Chancellor Johnstone, William N. Caballero, Phillip R. Jenkins, Chun-An Chou, Yinan Wang, Christine Beauchene, Hrishikesh Rao, Nathan B. Gaw

IEEE Trans. Cogn. Dev. Syst., February, 2026

Bayesian Graph Traversal.

William N. Caballero, Phillip R. Jenkins, David Banks, Matthew J. Robbins

Decis. Anal., 2026

2025

Solving the military medical evacuation dispatching, preemptive rerouting, redeploying, and delivering problem via tree-based machine learning and approximate dynamic programming approaches.

Virbon B. Frial, Matthew J. Robbins, Phillip R. Jenkins

Expert Syst. Appl., 2025

2024

Characterizing military medical evacuation dispatching and delivery policies via a self-exciting spatio-temporal Hawkes process model.

Virbon B. Frial, Phillip R. Jenkins, Matthew J. Robbins

J. Oper. Res. Soc., July, 2024

Responsible machine learning for United States Air Force pilot candidate selection.

Devin Wasilefsky, William N. Caballero, Chancellor Johnstone, Nathan B. Gaw, Phillip R. Jenkins

Decis. Support Syst., 2024

On Large Language Models in National Security Applications.

William N. Caballero, Phillip R. Jenkins

CoRR, 2024

2023

Toward automated instructor pilots in legacy Air Force systems: Physiology-based flight difficulty classification via machine learning.

William N. Caballero, Nathan B. Gaw, Phillip R. Jenkins, Chancellor Johnstone

Expert Syst. Appl., November, 2023

Solving the joint military medical evacuation problem via a random forest approximate dynamic programming approach.

Channel A. Rodriguez, Phillip R. Jenkins, Matthew J. Robbins

Expert Syst. Appl., July, 2023

2022

An Air Force Pilot Training Recommendation System Using Advanced Analytical Methods.

Nicholas C. Forrest, Raymond R. Hill, Phillip R. Jenkins

INFORMS J. Appl. Anal., 2022

An approximate dynamic programming approach for solving an air combat maneuvering problem.

James B. Crumpacker, Matthew J. Robbins, Phillip R. Jenkins

Expert Syst. Appl., 2022

2021

Approximate Dynamic Programming for Military Medical Evacuation Dispatching Policies.

Phillip R. Jenkins, Matthew J. Robbins, Brian J. Lunday

INFORMS J. Comput., 2021

Approximate dynamic programming for the military aeromedical evacuation dispatching, preemption-rerouting, and redeployment problem.

Phillip R. Jenkins, Matthew J. Robbins, Brian J. Lunday

Eur. J. Oper. Res., 2021

Poisoning finite-horizon Markov decision processes at design time.

William N. Caballero, Phillip R. Jenkins, Andrew J. Keith

Comput. Oper. Res., 2021

Analyzing the Impact of Triage Classification Errors on Military Medical Evacuation Dispatching Policies.

Emily S. Graves, Phillip R. Jenkins, Matthew J. Robbins

Proceedings of the Winter Simulation Conference, 2021

2018

Examining military medical evacuation dispatching policies utilizing a Markov decision process model of a controlled queueing system.

Phillip R. Jenkins, Matthew J. Robbins, Brian J. Lunday

Ann. Oper. Res., 2018