Sumaria Labs is our center for innovation engaging cross-functional teams from across our organization and our technology partners, thought leaders, and other experts. We develop new concepts, prototypes, and technology solutions for our federal customer and experiment with exciting ideas that can accelerate new ways of thinking and performing work.
Our Labs
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Sumaria’s labs are the core for our modeling & simulation and advanced analytics research, discovery, and prototyping to create solutions for complex challenges.
What We Do
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We have established a Modeling & Simulation (M&S) Lab and an Advanced Analytics Lab to drive our teams and collectively develop new solutions using the new technologies and tool.
Modeling & Simulation Lab
In our M&S Lab, we perform multi-domain scenarios and multi-resolution modeling using the Advanced Framework for Simulation Integration and Modeling (AFSIM) Framework. This tool provides parametric engineering to full 6-DOF models using script-based definitions of behavior, tactic, and command structures. AFSIM support tools include:
- Scenario creation, editing and execution
- Real time and post processing and results visualization
- Constructive, OITL, M&S-powered wargames
- Hydrodynamic Modeling
- Particle Transport
- J2 Propagation (Satellite Orbits)
- Mission Engineering (Scenario & Vignette Modeling, custom wargaming)
- Title 10 Wargaming
Advanced Analytics Lab
Our Analytics Team provides innovative research and experimentation on new initiatives to grow our capabilities and solve customer problems.
Current initiatives include model-based engineering, AI-sensor management, node analysis, mission engineering, modeling & simulation, and documents to models.
Practice Areas
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We have established a Modeling & Simulation (M&S) Lab and an Advanced Analytics Lab to drive our teams and collectively develop new solutions using the new technologies and tool.
Advanced Graph Analytics
Leveraging cutting-edge graph algorithms to analyze and interpret complex networks, revealing hidden patterns, relationships, and insights crucial for strategic decision-making.
Artificial Intelligence and Machine Learning Solutions
Developing and deploying AI/ML models, including random forests, deep Q networks, and Q-learning algorithms, to enhance predictive analytics and automate decision processes.
Physics-Based Modeling and Simulation
Utilizing the Advanced Framework for Simulation, Integration, and Modeling (AFSIM) to create detailed, physics-based simulations for Air Force, Space Force, Navy, and Army systems, enabling accurate scenario analysis and operational planning.
System Engineering and Model-Based Systems Engineering (MBSE)
Implementing MBSE methodologies to ensure robust, scalable, and efficient system designs, facilitating better integration, and performance across defense systems.
Data-Driven Decision Support
Offering comprehensive data analytics services to support strategic and tactical decision-making, utilizing advanced statistical and computational techniques to transform data into actionable insights.
Tools & Technologies
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Our advanced analytics and AI application is tailored toward customer needs and requirements. In addition to the following technologies, we build our M&S on the AFSIM.
- Neo4j
- J2 Propagtor
- Python
- Gaffer
- Confluence
- Jira
- GitHub
- Meld
- Winmerge
- Jave compiler
- Exclipes IDE
- Gfortran compiler
- C++ editer
- Julie
- Octave
- Spider IDE
- Pytorch
- SciKit
Use Cases
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Sumaria is dedicated to providing innovative solutions for a variety of technical and business problems while also seeking new ways to optimize processes and improving clarity and outcomes.
- Asset Location Laydown
- Program Integration
- Satellite Communication Optimization
- Wargaming Scenario
- Documents to Models
- C2 & C3 prioritization
- NUDETS (Nuclear Effects)
- Supply chain optimization Material models & graphs
(configuration control)
Our Products
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SUMMATION
We have developed a new Summation application that is an AI-driven graph analytic tool that is tailored toward Department of Defense customer needs and requirements. It parses data from disparate sources into a graph representation; generates interactive visualizations to quickly understand the system; performs graph analytic, machine learning, and agent-based analyses; and reports output in various formats to meet customer needs.
Our solutions ingest data using data parsers and constructs problem specific metrics to characterize the important features of the graph. Then, we perform a user selected analysis that combines traditional graph analytics, ML algorithms, and ABMS to optimize the graph. This provides information to the user that may be interactive visualization, reports, or a modified network that may be re-integrated into the host system. These knowledge graphs may be used for sensors and sensor-enabled kill webs, critical supply chains and manufacturing throughput, digital twins (configuration management and maintenance), and program integration.
Meet Our Lab Leadership
We are excited to expand our understanding and uses of technology to find new solutions for complex problems. We are also driven to support our national defense by investing in researching and developing solutions to support the military here in the homeland and on mission around the globe.
Team Composition
Our lab is led by a team of accomplished industry experts that include:
PhD Physicist and Mathematician: Ensuring rigorous analytical and modeling approaches.
Data Scientist: Specializing in graph analytics and AI algorithms (e.g., traversal, centrality, most influential node, random forest, deep Q network, Q-learning) to uncover hidden patterns and insights.
Software Developers: Developing robust, scalable software solutions to implement and visualize complex models and analytics.
AFSIM Modelers: Creating detailed physics-based simulations using the Advanced Framework for Simulation, Integration, and Modeling (AFSIM) that is broadly used in the DoD.
James Jenkins, PhD
Chief Scientist
Chris Williams
Director of C5ISR Operations
AFSIM
Wizard
Warlock
Mystic
Space Capabilities
AFSIM (Advanced Framework for Simulation Integration and Modeling)
- Multi-domain scenarios
- Multi-resolution modeling: parametric, engineering, to full 6-DOF models
- Script-based definition of behavior, tactics, and command structures
- Virtual and constructive analysis modes
- Scenario creation, editing and execution
- Real time and post processing and results visualization
- Constructive, OITL, M&S-powered wargames
Wizard is an Integrated Development Environment (IDE), a supportive application within AFSIM which grants Sumaria Labs the capability of creating and editing simulation scenarios. The Wizard IDE is leveraged for, but not restricted to, the following capabilities:
- Generates a viewable report of the resulting output
- Writing script for AFSIM scenarios
- Visualizing and manage scenario layouts
- Executing a scenario
Warlock is a Graphical User Interface (GUI) within the AFSIM software simulation tool that enables operator in the loop wargaming simulations at the engagement, mission, operational, and strategic levels. The Warlock GUI is leveraged for, but not restricted to, the following capabilities:
- Enables operator to interact live with simulations
- Utilizing an intuitive and customizable interface with the capability to support functional plug-ins
- Real-time data visualization that includes scoreboards and comparative attribute plot models
- Leverages the AFSIM capabilities to support critical analysis for operational planning efforts
Mystic is the core of AFSIM, being the key foundation of all simulation activities, enabling Sumaria Labs to conduct an effective assessment of scenario outputs. Mystic is leveraged for, but not restricted to, the following capabilities:
- Generates simulation recordings for replay and visualization of a scenario
- Video/screenshot capture capability
- Collections of metric measurement tools that can be added to a recording
- Customizable and exportable reports based on simulation data
AFSIM provides a series of capabilities for the support of space missions as well as space-enabled kill-webs.
- AFSIM’s multi-domain modeling delivers significant and evolving capabilities to simulate key space mission areas
- ISR, SDA, RPO, PNT, SATCOM, OPIR, launch-to-orbit
Kill-Webs
- Detection and coordinative tracking
- Coordination with ground assets for mission-effectiveness
- Simulates realistic satellite communication as well as satellite ground communications
ASTROLABE
- Simulates space situational awareness and avoidance maneuvers
- Use astrolabe to create, verify, and visualize orbital mission events and sequences
- Utilize a variety of supported orbital maneuver events
- Rendezvous, intercept, target, match velocity
- Normal, tangent, radial, plane change
- Launch insertion, hohmann transfer, circularize
- Optimize maneuvers based on time or delta-v and customize event constraints
- Specify impulsive or finite maneuvering model
CONSTELLATION MAKER
- Rapidly prototype and study constellations targeting specific mission areas
- Generate notional constellations
- Traditional walker delta and walker star types
- Custom constellation types
- Automatically create AFSIM scenario input files to facilitate design of experiments
- Constellation members inherit all subsystems from their defining platform type
RENDEZVOUS & PROXIMITY OPERATIONS (RPO)
- Explore AFSIM’s expanded space-domain visualizations for RPO to mission plan and understand the playing field
- Visualize relative orbit systems using tracks (perception) or truth
- Compute relative metrics on the fly between a target HVA and chaser satellites
- Tile radial, in-track, and cross-track (RIC) planes of interest relative to selected HVAs
- Display dynamic data of concern on any satellite tether view window
AFSIM COVERAGE
- Study sensor coverage of notional or existing ISR constellations
- Define coverage grids of various kinds (terrestrial, GEO belt)
- Select coverage assets from existing platforms or platform templates
- Collect a wide variety of measures of effectiveness
- Including: coverage time, revisit time, asset coverage, access duration
- Generate reports in multiple formats
SPACE ENVIRONMENT, SENSORS, & SIGNATURES
- Simulate the space environment
- Satellite signatures – RF, IR, and optical
- Orbital conjunction prediction and avoidance
- Collision and debris modeling
- Conduct space domain awareness (SDA) analysis with expanded cislunar modelingreness (SDA) analysis with expanded cislunar modeling
- Model space surveillance network sensors
- Use multi-type data fusion to track and update perceived states of space objects
- Employ AFSIM’s flexible, extensible, and accurate integrating propagator
- Create scenarios around central bodies other than earth
MULTI-DOMAIN OPERATIONS
- AFSIM’s modeling, simulation, analysis, and visualization capabilities span all domains
- Seamlessly integrate space assets with surface, ground, and air platforms
- Explore the interplay of TCPED and F2T2EA chains