Bradley S. Moskowitz
Dr. Moskowitz joined Metron in November 2005 and has served as the technical lead on several data fusion and tracking projects in support of the U.S. Navy. His technical background includes advanced algorithm development and software engineering with a Ph.D. in Applied Mathematics. In early 2017, he was promoted to Division 1 management.
Since joining Metron, Dr. Moskowitz has taken technical leadership of the Metron work for the IWS-5 Program Office in support of the U.S. Navy. Metron has developed a series of state of the art advanced Bayesian, multiple-target trackers which have been deployed on U.S. Submarines as part of the APB program and repeatedly selected by the Navy as best algorithm in class. This has included Track Monitor, for automatically tracking hundreds of low priority contacts, and the Intermittent Tracking Tool (ITK), for tracking intermittent contacts. ITK has been extremely well received. Our most recent multiple target tracker, TRK, serves as the primary automated tracking algorithm in APB for contacts with intermittent data, continuous data, and mixtures of each over time. TRK was introduced in APB-15 and extended to include frequency processing for APB-17. New TRK capabilities for APB-19/21 are under development.
Building on our success, Metron has recently extended TRK to support surveillance for ICP/IUSS, surface ships for ACB, and reconstruction for ACINT/ONR. Dr. Moskowitz has been heavily involved in leading all aspects of this work including program management, white paper and proposal submission, software development, algorithm design, run-time performance optimizations, deployment, step testing, training, and development of new and intuitive methods for displaying probabilistic information in a useful form for tactical control operators.
Dr. Moskowitz has also served as technical lead on several related projects developing improved data fusion and correlation capabilities for surface ships and undersea warfare. These have included work for USW-DSS, the ONR Intelligent Controller and Field Level Fusion programs, and the Carrier Tactical Support Center (CV-TSC). These projects have been based on a modular approach which combines a particle filter and probabilistic data association engine with an extended-MAP algorithm (XMAP) for optimal track-to-track association probabilities and bias estimates, incorporating feature data in a mathematically rigorous way. Dr. Moskowitz also developed an effective technique for using adjacency graph clustering to handle very large numbers of tracks efficiently.
Dr. Moskowitz had a lead role in developing a Metron in-house advanced data fusion simulation capability which has proven very useful over the years as a way to test and improve the Metron algorithms for tracking and data fusion. This system can simulate a wide variety of sensors. It incorporates realistic sensor tracking errors and arbitrarily complex platform motion.
Prior to working for Metron, Dr. Moskowitz worked for General Dynamics (GDAIS) from 2000-2005 as a Technical Manager and Senior Software Engineer. This work included oversight of 12 software developers and technical lead on several advanced development projects. Tools developed were successfully deployed or tested at CIFA, INSCOM, JFCOM, JIOC, and INR.
From 1994-2000 Dr. Moskowitz worked as a Senior Mathematician at Bettis Laboratory, a research center for the Naval Nuclear Propulsion Program.
- Doctor of Philosophy, Mathematics, University of California, Los Angeles, 1993
- Master of Arts, Mathematics, University of California, Los Angeles, 1990
- Bachelor of Science, Applied Mathematics, Brown University, 1988