James Pagan Email & Phone Number

Denver, CO, US

Albuquerque, NM, US

Principal Investigator - Multi-Agent Systems ResearchProgram Manager - Space ProgramAdvanced Aerospace Concept DesignReinforcement LearningArtificial IntelligenceOptimizationModeling & Simulation

Albuquerque, NM, US

Reinforcement Learning, Modeling & Simulation

Atlanta, Georgia, US

• Developing algorithms for localization and path-planning/navigation in GPS-denied environments
• Enabling terrain visualization within AFSIM

Atlanta, Georgia, US

• Leading a team of 6 in creation of novel, integrated, methodology for “Systems of Systems” (SoS) simulation models, Operations Analysis - AFSIM, vehicle sizing, operational & cost effectiveness studies for.
• Developed novel machine learning architecture using the fusion of multiple, individual neural networks to create a hierarchical deep neural network capable of rapid, high-fidelity design space exploration, scalable to.
• Guided & co-developed adaptive behavior models for LCAAs within AFSIM enabling exploitation of emergent behaviors of attritable system; sensor capability trade-off study to quantify impacts on agent behaviors & LCAA.
• Structural design & manufacturing analysis of attritable structures, quantification of cost-reductions enabled through attritable vehicle design

Atlanta, Georgia, US

• Framework development for simulation of Directed Energy technologies on ship power/thermal system design
• Multi-Disciplinary Analysis provided insight into cost-effective technology investment & configuration selectionPublications: “A Decision Support Environment for Integrated Design of Power and Thermal Architectures in.

Falls Church, VA, US

• Facilitated trade-off analysis of Next-Generation Air Dominance (NGAD) aircraft configurations through creation of machine-learning based data visualization & decision support environment
• Increased utilization & access of Multi-Disciplinary Optimization tools through development of Python wrappers for aerodynamic analysis codes, enabled cost savings of ≈$75K per instance, critical for low-budget.

Bethesda, MD, US

• Multi-Disciplinary Optimization and requirements decomposition of next-generation fighter and UAV platforms
• Use of data reduction techniques & surrogate modeling upon physics-based models for rapid design space exploration
• Founded ADP & F-35 Early Career Engagement Team (ECET) to expand new-employee engagement activities

Bethesda, MD, US

• Designed scalable, ‘Agile’ backlog optimization method for prioritization of original work & rework planning for existing and future F-16/F-22 programs. Presented to sector VPs and Directors to coordinate initial.
• Consolidation and revising of Airworthiness MIL-STDs to provide recommendations to USAF & USN customers
• Founded Integrated Fighter Group's Early Career Engagement Team (ECET) conducting engagement events for over 600 new employees

Falls Church, VA, US

• Investigated and analyzed Lessons Learned from design engineering groups, planned requirements for a Best Practices system, presented analysis to program directors and chief engineers to implement sector-wide improved.
• Designed solutions to streamline F-18 and F-35 composites, paint, manufacturing and NDI testing procedures

Doctor Of Philosophy - Phd, Computational Science

Master Of Business Administration - Mba, Technology Innovation

Master Of Science - Ms, Aerospace, Aeronautical And Astronautical Engineering

Master Of Science - Ms, Computational Science

Bachelor Of Science - Bs, Aerospace, Aeronautical And Astronautical Engineering