Major Phillip R. Jenkins, Adjunct Assistant Professor of Operations Research
Conferences Invited
KEYNOTE, PLENARY, & INVITED ADDRESSES (# denotes presenter, * denotes student author)
Forrest*, N.C., Hill, R.R., Jenkins, P.R., and Lunday#, B.J. (2023). An Air Force Pilot Training Recommendation System Using Advanced Analytical Methods. 2023 INFORMS Annual Meeting, October 15-18, 2023, Phoenix, AZ. (Invited Koopman Prize Presentation)
Gaw#, N.B., Caballero, W.N., Jenkins, P.R. (2022). Classifying Pilot Training Flight Difficulty using Multimodal Physiological Signals. 2022 INFORMS Annual Meeting, October 16-19, 2022, Indianapolis, IN.
Caballero#, W.N., Cooley, J.P. *, Banks, D.L., Jenkins, P.R. (2022). A Behavioral Approach to Repeated Security Games. 2022 INFORMS Annual Meeting, October 16-19, 2021, Indianapolis, IN.
Barry, G.W. *#, Gaw, N.B., Johnstone, C.A., Jenkins, P.R, Caballero, W.N. (2022) A Conformal Prediction Approach to Quantify Pilot Error and Flight Difficulty via Multimodal Physiological Signals. Massachusetts Institute of Technology – Lincoln Laboratories, August 22, 2022, Boston, MA.
Rao*#, A.P, Jenkins, P.R., Patnaik, A.K. (2022). Enabling High-Fidelity Spectroscopic Analysis of Plutonium with Machine Learning. 2022 Optical Sensors and Sensing Conference, July 11-15, 2021, Vancouver, British Columbia Canada.
Jenkins, P.R. (2021). Flying high with analytics: Helping the Air Force address its pilot shortage. OR/MS Today: INFORMS Resoundingly Human, September 30, 2021, Virtual Podcast Interview. DOI: https://doi.org/10.1287/orms.2021.05.32p.
Rao*#, A.P, Pinson*, R.E., Jenkins, P.R., Patnaik, A.K. (2021). Applications of laser-induced breakdown spectroscopy for chemical analysis of nuclear materials. 2021 SciX Annual Meeting, September 26 - October 1, 2021, Providence, RI.
Jenkins#, P.R. (2018). Utilizing Operations Research Techniques to Solve Military Medical Evacuation Problems. 2018 INFORMS Annual Meeting, November 4-7, 2018, Phoenix, AZ. (Invited Seth Bonder Scholarship for Applied Operations Research in Military Applications Presentation)
Robbins, M.J., Jenkins, P.R., Bastian#, N.D., and Lunday, B.J. (2018). Approximate Dynamic Programming for the Aeromedical Evacuation Dispatching Problem: Value Function Approximation Utilizing Multiple Level Aggregation. 86th MORS Symposium, June 18-21, 2018, Naval Postgraduate School, CA. (Invited Richard H. Barchi Prize Presentation)
CONTRIBUTED CONFERENCE PRESENTATIONS (# denotes presenter, * denotes student author)
Frial*, V.B., Jenkins#, P.R., Robbins, M.J., and Lunday, B.J. (2023). Evaluating the Joint Reliability of Multiple Distinct Servers for a Comprehensive Military Medical Evacuation Scenario.. 2023 INFORMS Annual Meeting, October 15-18, 2023, Phoenix, AZ.
?Jenkins#, P.R., Caballero, W.N., and Hill, R.R. (2023). Predicting Success in United States Air Force Pilot Training using Machine Learning Techniques. 2023 INFORMS Annual Meeting, October 15-18, 2023, Phoenix, AZ.
Gelbard*#, A.G., Jenkins, P.R., and Robbins, M.J. (2023). Enhancing Military Medical Evacuation Dispatching with Armed Escort Management: Comparing Model-Based Reinforcement Learning Approaches. 2023 INFORMS Annual Meeting, October 15-18, 2023, Phoenix, AZ.
Gaw#, N.B., Barry*, G.W., Johnstone, C.A., Jenkins, P.R., Caballero, W.N. (2023). A Conformal Prediction Approach to Quantify Student Pilot Error via Multimodal Physiological Signals. 2023 IISE Annual Conference and Expo, IISE DAIS Special Session Presentation, May 20-23, 2023, New Orleans, LA.
Barry*#, G.W., Gaw, N.B., Johnstone, C.A., Jenkins, P.R., Caballero, W.N. (2023). A Conformal Prediction Approach to Quantify Pilot Error via Multimodal Physiological Signals. 2023 Department of the Air Force Data, Analytics, and AI Forum, April 24-27, 2023, Herndon, VA.
Wasilefsky*#, D.C., Caballero, W.N., Johnstone, C.A., Jenkins, P.R., Gaw, N.B. (2023). Responsible Machine Learning for United States Air Force Pilot Candidate Selection. 2023 Department of the Air Force Data, Analytics, and AI Forum, April 24-27, 2023, Herndon, VA.
Pinson*#, R.E, Patnaik, A.K., Jenkins, P.R., Giminaro, A.V. (2022). Evaluating Spectroscopic Data Fusion for Environmental Conditioning of Lithium Hydride Using Machine Learning. 2022 Optical Sensors and Sensing Conference, July 11-15, 2021, Vancouver, British Columbia Canada.
Gaw#, N.B., Jenkins, P.R., and Caballero, W.N. (2022). A Machine Learning Approach to Quantify United States Air Force Pilot Performance through Physiological Signals. 2022 IISE Annual Conference and Expo, May 21-24, 2022, Seattle, WA.
Gaw#, N.B., Jenkins, P.R., and Caballero, W.N., Johnstone, C.A., Hoecherl, J.C. (2022). A Machine Learning Pipeline to Classify Pilot Training Flight Difficulty. 2022 AFORS, April 12-14, 2022, Nellis AFB, NV.
Graves*, E.S., Jenkins, P.R.#, and Robbins, M.J. (2021). Analyzing the Impact of Triage Classification Errors on Military Medical Evacuation Dispatching Policies. 2021 Winter Simulation Conference, December 12-15, 2021, Phoenix, AZ.
Rao*#, A.P., Jenkins, P.R., Auxier II, J.D., Shattan, M.B., and Patnaik, A.K. (2021). Development of tree-based machine learning methods for quantification of gallium in a Pu surrogate matrix via LIBS. 2021 SciX Annual Meeting, September 26 - October 1, 2021, Providence, RI (Poster Presentation) (2021 Federation of Analytical Chemistry and Spectroscopy Societies Student Poster Award Winner).
Rao*#, A.P., Jenkins, P.R., Auxier II, J.D., Shattan, M.B., and Patnaik, A.K. (2021). Decision tree-based methods for chemical analysis of Pu surrogate spectra. 2021 Fall ACS National Meeting, August 22-27, 2021, Atlanta, GA
Bill*#, J.P, Champagne, L.E., Cox, B.A., Bihl, T.J., and Jenkins, P.R. (2021). Meta-Heuristic Optimization Methods for Quaternion-Valued Neural Networks. Working Group 34 Data Science and Analytics, 89th MORS Symposium, June 21-25, 2021, Virtual.
Butcher*#, Z.E., Weir, J.D., and Jenkins, P.R., “High Performance Computing with Machine Learning To Evaluate Contracts,” 2021 AFORS, March 22-24, 2021, Virtual.
Dennie*#, N.C, Jenkins, P.R., and Robbins, M.J., “Leveraging Operations Research and Artificial Intelligence Techniques to Assess How Casualty Collection Point Threat Levels Impact Medical Evacuation Dispatching Policies,” 2021 AFORS, March 22-24, 2021, Virtual.
Rao*#, A.P, Jenkins, P.R., Auxier II, J.D., and Shattan, M.B., “Improving analytical performance of a portable laser-induced breakdown spectroscopy device through use of a boosted regression ensemble,” 2020 SciX Annual Meeting, October 12-15, 2020, Virtual (Poster Presentation).
Jenkins#, P.R., Robbins, M.J., and Lunday, B.J. “Approximate Dynamic Programming for the Military Aeromedical Evacuation Dispatching, Preemption-Rerouting, and Redeployment Problem,” 2020 Cincinnati-Dayton INFORMS Symposium, January 31, 2020, Dayton, OH.
Jenkins#, P.R., Lunday, B.J., and Robbins, M.J. “Robust, Multi-Objective Optimization for the Military Medical Evacuation Location-Allocation Problem,” 2019 INFORMS Annual Meeting, October 20-23, 2019, Seattle, WA.
Jenkins#, P.R., Robbins, M.J., and Lunday, B.J. “Approximate Dynamic Programming for Military Medical Evacuation Dispatching Policies,” 2018 INFORMS Annual Meeting, November 4-7, 2018, Phoenix, AZ.
Robbins, M.J., Jenkins, P.R., Bastian#, N.D., and Lunday, B.J. “Approximate Dynamic Programming for the Aeromedical Evacuation Dispatching Problem: Value Function Approximation Utilizing Multiple Level Aggregation,” 2018 INFORMS Annual Meeting, November 4-7, 2018, Phoenix, AZ.
Jenkins#, P.R., Robbins, M.J., and Lunday, B.J. “Approximate Dynamic Programming for Military Medical Evacuation Dispatching Policies,” 2018 INFORMS Cincinnati-Dayton Chapter Fall Technical Symposium, October 19, 2018, Dayton, OH
Jenkins#, P.R., Robbins, M.J., and Lunday, B.J. “Examining Military Medical Evacuation Dispatching Policies Utilizing a Markov Decision Process Model of a Controlled Queueing System,” 2017 INFORMS Annual Meeting, October 22-25, 2017, Houston, TX.
Robbins, M.J., Jenkins, P.R., Bastian#, N.D., and Lunday, B.J. “Approximate Dynamic Programming for the Aeromedical Evacuation Dispatching Problem: Value Function Approximation Utilizing Multiple Level Aggregation,” Working Group 15 Casualty Estimation and Force Health Protection, 85th MORS Symposium, June 19-22, 2017, West Point, NY. (2018 MORS Richard H. Barchi Prize Winner)