COL Matthew F. Dabkowski, Ph.D.

Associate Professor

Deputy Department Head

Systems Engineering

matthew.dabkowski [at] westpoint.edu
COL Matthew Dabkowski is the Deputy Department Head of the United States Military Academy’s (USMA’s) Department of Systems Engineering (DSE). A 1997 graduate of USMA, COL Dabkowski received his commission as an Infantry Officer, and his first assignment was with the 1-508th Airborne Battalion Combat Team (Vicenza, IT), where he served as a rifle platoon leader, an anti-tank/heavy weapons platoon leader, and a company executive officer. He subsequently commanded rifle and headquarters and headquarters companies in the 5-20th Infantry Regiment (Fort Lewis, WA), the first battalion in the Army to field the Stryker combat vehicle. In this capacity, he deployed between November 2003 and November 2004 in support of Operation IRAQI FREEDOM. In 2007, COL Dabkowski obtained an MS in Systems Engineering from the University of Arizona (UA), and he transitioned to the Army’s Operations Research / Systems Analysis Functional Area (FA49). His first FA49 tour was in USMA’s DSE as an instructor and assistant professor. Following this teaching assignment, COL Dabkowski was assigned to the Army Training and Doctrine Command Analysis Center (TRAC; Fort Leavenworth, KS), where he deployed in support of Operation ENDURING FREEDOM as the Chief of TRAC’s Data Cell Forward. In 2016, COL Dabkowski received a PhD in Systems and Industrial Engineering from the UA, where he deployed in support of Operation FREEDOM’S SENTINEL as the Military Assistant to the Commanding General of Combined Joint Task Force – Horn of Africa. In recognition of his contributions to military operations research over the past decade, COL Dabkowski has received the Army’s Dr. Wilbur B. Payne Award, TRAC’s LTC Paul J. Finken Memorial Award, the Military Operations Research Society’s (MORS’) Wayne P. Hughes Junior Analyst Award, MORS’ David Rist Prize, and the Army’s Operational Analysis Award. COL Dabkowski has been married to his wife Nicole for over 25 years, and they are the proud parents of four wonderful sons and one incredible daughter.

Ph.D. in Systems and Industrial Engineering - University of Arizona

M.S. in Systems Engineering - University of Arizona

B.S. in Operations Research - United States Military Academy

Research Interests

Systems engineering, Decision analysis, Operations Research, Network science, Cost estimation

Current Research

Dabkowski, Matthew, Stephen Gillespie, Ian Kloo, Devon Compeau, and Mai Tran. Building Equitable Student Project Groups - Heuristic Assignment Methods and Measures of Effectiveness.

Selected Publications

Londner, Edward, Matthew Dabkowski, Ian Kloo, and J. D. Caddell. 2023. “The Communication Coefficient Method: A New faculty Grading Tool Designed to Help Engineering Students Improve Their Technical Writing and Presenting.” IEEE Transactions on Professional Communication 66 (2): 202-219. https://doi.org/10.1109/TPC.2023.3260479.

Dabkowski, Matthew, John Case, Ian Kloo, and Julie Pickett. 2022. “Estimating the prevalence of heterochromia iridum from high-resolution digital yearbook portraits.” Journal of Optometry 15 (3): 248-250. https://doi.org/10.1016/j.optom.2021.08.002.

Clark, Nicholas, Matthew Dabkowski, Patrick Driscoll, Dereck Kennedy, Ian Kloo, and Heidy Shi. 2021. “Empirical Decision Rules for Improving the Uncertainty Reporting of Small Sample System Usability Scale Scores.” International Journal of Human Computer Interaction 37 (13): 1191-1206. https://doi.org/10.1080/10447318.2020.1870831.

Caddell, J. D., Matthew Dabkowski, Patrick Driscoll, and Patrick Dubois. 2020. “Improving Stochastic Analysis for Tradeoffs in Multi-Criteria Value Models.” Journal of Multi-Criteria Decision Analysis 27 (5-6): 304-317. https://doi.org/10.1002/mcda.1717.

Dabkowski, Matthew, Neng Fan, and Ronald Breiger. 2016. “Exploratory blockmodeling for one-mode, unsigned, deterministic networks using integer programming and structural equivalence.” Social Networks 47: 93-106. https://doi.org/10.1016/j.socnet.2016.05.005.