COL Pete Chapman Associate Professor Department Head Physics and Nuclear Engineering peter.chapman [at] westpoint.edu About Education Research & Publications COL Chapman was commissioned into the Infantry from the United States Military Academy in 1998. He holds a BS in Engineering Physics from West Point, an MS in Nuclear Science and Engineering from Massachusetts Institute of Technology, and a PhD in Nuclear Engineering from North Carolina State University. COL Chapman has served in a variety of operational assignments that include service as a platoon leader and executive officer in 1-187 IN of the 101st Airborne Division at Fort Campbell, Kentucky and commander of B/1-12 CAV and assistant operations officer in the 1st Cavalry Division at Fort Cavazos, Texas. He also served in the Pentagon as the Assistant Executive Officer to the Deputy Chief of staff, G-3/5/7, Headquarters, Department of the Army. He has deployed in support of the Kosovo Peacekeeping Force, Operation Enduring Freedom, and Operation Iraqi Freedom. At West Point, COL Chapman served as an instructor and course director in the introductory physics course from 2010-2014. He returned to West Point in 2018 as an Academy Professor, serving as the core physics program director in 2019 before being selected as the Deputy Head in 2020. COL Chapman became the Department Head in 2024. COL Chapman's awards and decorations include the Legion of Merit, Bronze Star (with two oak leaf clusters), Meritorious Service Medal (with two oak leaf clusters), Combat Infantry Badge, Parachutist Badge, Air Assault Badge, Ranger Tab, and Sapper Tab. Ph.D. - North Carolina State UniversityM.S. - Massachusetts Institute of TechnologyB.S. - U.S. Military Academy Research Interests Special nuclear material detection and identification, Particle type identification methodologies Selected Publications Liebers, N., Huckelberry, J., Ruiz, D., Fobar, D., Chapman, P., “Unsupervised Machine Learning Approaches to Nuclear Particle Type Classification,” 2022 IEEE Long Island Systems, Applications, and Technology (LISAT), 2022. https://doi.org/10.1109/lisat50122.2022.9924043Fobar, D., Vanderlip, W., Koch, W., Chapman, P., “A Machine Learning Approach to a Multi-Detector Array Response Function for Nuclear Search,” IEEE Transactions on Nuclear Science, Vol. 69, No. 8, pp. 1939-1944, 2022. https://doi.org/10.1109/tns.2022.3186831Fobar, D., Phillips, L., Wilhelm, A., Chapman, P., “Considerations for Training an Artificial Neural Network for Particle Type Identification,” IEEE Transactions on Nuclear Science, Vol. 68, No. 9, pp. 2350-2357, 2021. https://doi.org/10.1109/tns.2021.3103658Chapman, P., Mueller, J., Newby, J., Mattingly, J., “Exploiting fission chain reaction dy-namics to image fissile materials,” Nuclear Instruments and Methods in Physics Research, Section A, Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 935, pp. 198-206, 2019. https://doi.org/10.1016/j.nima.2019.05.001