David P. Brown

Executive Principal Analyst

Dr. Brown served for over 22 years in the U.S. Navy and has more than 25 years of experience as systems engineer, educator, consultant, and technical manager. A graduate of the U.S. Navy Test Pilot School, Naval War College, and the Defense Acquisition University, he also holds DAWIA certifications in Program Management, Systems Engineering, and Test and Evaluation. He also has experience in model building for Bayesian and neural networks, developing computer models generated from data sets, and programming. An experienced consultant, he has successfully completed projects for Office of Naval Research, the U.S. Navy, Marine Corps and Air Force, Internal Revenue Service, Department of Health and Human Services, Intelligence Advanced Research Project Agency (IARPA), NASA, Los Alamos National Lab, and multiple U.S. intelligence agencies. He helped facilitate and write a Systems Engineering Policy Instruction for NASA and has also been a consultant in formulation of the acquisition plans for the Constellation Program. He has completed several business process modeling and reengineering projects to improve efficiency at the IRS. He recently was co-principal investigator leading a diverse team across industry and academia researching improvements to predicting the effectiveness of insider threat detections systems. Selected to an elite group, Scientists Helping America, to assist with bringing technology to bear in the new war on terrorism after the 9/11 attacks, he received an ONR grant to demonstrate a shared control concept for unmanned vehicles. He has received recognition for contributions to the field of systems engineering with an individual award from the Under Secretary of Defense for Acquisition, Technology and Logistics and a Team Award from the Chief Engineer of NASA.


Ph.D., Information Technology, George Mason University, 2004
M.S., Aeronautical Engineering, US Naval Postgraduate School, 1985
B.S., Systems Engineering, US Naval Academy, 1978

Selected Publications and Presentations

Brown, David P., Buede Dennis, and Vermillion, Sean D. “Improving Insider Threat Detection Through Multi-Modeling/Data Fusion” in Proc. of 2019 International Conference on Systems Engineering Research (CSER 2019), Washington DC, April 2019.

D. M. Buede, E. T. Axelrad, D. P. Brown, D. W. Hudson, K. B. Laskey, P. J. Sticha, J. L. Thomas, (2018), “Inference Enterprise Models: An Approach to Organizational Performance Improvement”, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery.

S. D. Vermillion, J. L. Thomas, D. P. Brown, D. M. Buede, (2018), “Comparing Frequentist and Bayesian Approaches for Forecasting Binary Classification Performance”, in Proc. of 2018 International Conference on Systems Engineering Research (CSER 2018), Charlottesville, VA, May 8-9

S. D. Vermillion, D. P. Brown, D. M. Buede, (2018), “Applying Model-Based Validation to Inference Enterprise Selection”, in Proc. of 2018 International Conference on Systems Engineering Research (CSER 2018), Charlottesville, VA, May 8-9

Brown, David, Rapid, Low Cost Modeling and Simulation: Integrating Bayesian Networks and Neural Networks as an Alternative to an Equation-Based Approach, VDM Verlag Dr Muller Aktiengesellschaft & Co, Saarbruken, Germany, 2008.

Brown, D and Mohler, R, “Artificial Intelligence for Constructing Accurate, Low-Cost Models and Simulation” presented and published in the proceedings of the 2005 I/ITSEC Conference. Winner of the 2006 Northrop Grumman Best Technical Paper in the Military category.

Brown, David and McVay, Tammi, “Weblog Technology for Program Management” Defense AT&L Magazine, Mar-Apr 2005.

Brown, D., “Building Communities of Practice”, Program Manager Magazine, Nov-Dec 2002.

Brown, Cdr David P., “Enterprise Architecture for DoD Acquisition”, Acquisition Quarterly Review, Spring 2000.