Capt Phillip R. Jenkins, Assistant Professor of Operations Research
Captain Phillip R. Jenkins is an Assistant Professor of Operations Research in the Department of Operational Sciences, Air Force Institute of Technology (AFIT). He holds a bachelor’s degree in Mathematics from Ohio University as well as a master’s and a doctoral degree in Operations Research from AFIT. He commissioned through the Air Force Reserve Officer Training Corps in 2012 as an Operations Research Analyst. Prior to obtaining his graduate degrees from AFIT, Captain Jenkins was assigned to Air Force Global Strike Command A9 where he served as a Long Range Systems Strike Analyst and as the Chief of Force Structure Assessments from January 2013 to July 2015.
Education
Doctor of Philosophy (Ph.D.), Operations Research, Air Force Institute of Technology, 2019
Master of Science (M.S.) Operations Research, Air Force Institute of Technology, 2017; Distinguised Graduate
Bachelor of Science (B.S.), Mathematics, Ohio University, 2012
Awards
2019 General Omar N. Bradley Research Fellowship in Mathematics
2018 Seth Bonder Scholarship for Applied Operations Research in Military Applications
2018 Richard H. Barchi Prize, Military Operations Research Society (jointly awarded to work with co-authors Matthew J. Robbins, Nathaniel D. Bastian, and Brian J. Lunday)
2018 General Omar N. Bradley Research Fellowship in Mathematics
2017 Distinguished Graduate, M.S. in Operations Research Program (AFIT)
Publications
Jenkins, P.R., Robbins, M.J., and Lunday, B.J., “Approximate Dynamic Programming for Military Medical Evacuation Dispatching Policies,” INFORMS Journal on Computing (forthcoming, accepted 16 August 2019).
Jenkins, P.R., Lunday, B.J., and Robbins, M.J. “Robust, Multi-Objective Optimization for the Military Medical Evacuation Location-Allocation Problem,” Omega (forthcoming, accepted 15 July 2019). DOI: https://doi.org/10.1016/j.omega.2019.07.004.
Robbins, M.J., Jenkins, P.R., Bastian, N.D., and Lunday, B.J., “Approximate Dynamic Programming for the Aeromedical Dispatching Problem: Value Function Approximation Utilizing Multiple Level Aggregation,” Omega, 91 (March 2020), 102020, 1-17. DOI: https://doi.org/10.1016/j.omega.2018.12.009.
Jenkins, P.R., Robbins, M.J., and Lunday, B.J., 2018. “Examining Military Medical Evacuation Dispatching Policies Utilizing a Markov Decision Process Model of a Controlled Queueing System,” Annals of Operations Research, 271 (2), 641-678. DOI: https://doi.org/10.1007/s10479-018-2760-z.