Lt. Col. Joseph Joe M. Liles, Assistant Professor of Statistics

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LIEUTENANT COLONEL JOSEPH M. LILES IV

Lieutenant Colonel Joseph M. Liles IV is an Assistant Professor of Statistics, Graduate School of Engineering and Management, Air Force Institute of Technology, Wright-Patterson Air Force Base, Ohio.  He provides a foundational education in graduate-level statistical analysis for Air and Space Force personnel.  He also researches advanced methodologies for applying modern artificial intelligence techniques to complex optimization and decision-making problems.

Lieutenant Colonel Liles was commissioned in 2005 following graduation from the Reserve Officer Training Corps at North Carolina State University.  He has served as an intercontinental ballistic missile combat crew commander, evaluator, senior evaluator, and flight commander.  Lieutenant Colonel Liles has also worked as the Assistant Director of Operations for the 576th Flight Test Squadron; the aide-de-camp to the Commander of 20th Air Force; the Chief of Nuclear Operations and Assessments for Headquarters Air Force Materiel Command; and the Chief of Test Requirements for Headquarters Air Force Global Strike Command, where he was responsible for the integration of all developmental and operational testing requirements for the nation’s intercontinental ballistic missile fleet.

Education

2005         Bachelor of Science in Computer Science, North Carolina State University, Raleigh, N.C.

2006         Air and Space Basic Course, Maxwell Air Force Base, Ala.

2010         Master of Science in Aeronautical Science, with distinction, Embry-Riddle Aeronautical University, Daytona Beach, Fla.

2011         Squadron Officer School, Maxwell AFB, Ala.

2013         Nuclear Weapons Effects, Policy, and Proliferation Certificate Program, Air Force Institute of Technology,

Wright-Patterson AFB, Ohio

2014         Nuclear Fundamentals Course, Air Force Nuclear Weapons Center, Kirtland AFB, N.M.

2016         Air Command and Staff College, Maxwell AFB, Ala., by correspondence

2021         Distinguished Graduate, Master of Science in Operations Research, Air Force Institute of Technology, Wright-Patterson AFB, Ohio

2023         Doctor of Philosophy in Operations Research, Air Force Institute of Technology, Wright-Patterson AFB, Ohio

2024         Air War College, Maxwell AFB, Ala., by correspondence

Publications

  1. Liles IV, J.M., Robbins, M.J. and Lunday, B.J. (2022, April 12-14). Improving Air Battle Management Decision-Making with Artificial Intelligence [Conference presentation]. 2022 Air Force Operations Research Symposium.
  2. Liles IV, J.M., Robbins, M.J. and Lunday, B.J. (2022, October 16-19). Military Defensive Task Prioritization for Autonomous Escort of a Moving High-Value Asset [Conference presentation]. 2022 INFORMS Annual Meeting.
  3. Liles IV, J.M., Robbins, M.J. and Lunday, B.J. (2023). Improving Defensive Air Battle Management by Solving a Stochastic Dynamic Assignment Problem via Approximate Dynamic Programming. European Journal of Operational Research, 305(3), 1435-1449.
  4. Liles IV, J.M., Robbins, M.J. and Lunday, B.J. (2023, October 15-18). Similarity-Based Admission Control for Experience Replay in Continuous-Space Deep Reinforcement Learning: Solving an Air Battle Management Problem [Conference presentation]. 2023 INFORMS Annual Meeting.
  5. Liles IV, J.M., Robbins, M.J. and Lunday, B.J. (2023). Solving Nonstationary Markov Decision Processes via Contextual Decomposition: A Military Air Battle Management Application. Expert Systems with Applications, 233, 120949.
  6. Liles IV, J.M., Robbins, M.J. and Lunday, B.J. (2024, October 20-23). Quantifying Capability Gaps via Information Relaxation and Deep Reinforcement Learning in Infinite-Horizon Markov Decision Processes: A Military Air Battle Management Application [Conference presentation]. 2024 INFORMS Annual Meeting.
  7. Liles IV, J.M., Robbins, M.J. and Lunday, B.J. (2025). Quantifying Capability Gaps via Information Relaxation and Deep Reinforcement Learning in Infinite-Horizon Markov Decision Processes: A Military Air Battle Management Application. Journal of the Operational Research Society, 1-16.
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