Patents by Inventor Nicholas Stephens

Nicholas Stephens has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20260238663
    Abstract: A system is disclosed for generating a common intelligence picture through latent space fusion and threat forecasting. Priority intelligence requirements are processed using language and machine learning models to generate structured tasking and prioritize multi-modal sensor collection. Data from geospatial, cyber, radio frequency, and behavioral sources is embedded into domain-specific representations and fused into a unified latent space. The system models behavioral trajectories, detects anomalies, and maintains digital twins of entities and regions. Deviations from expected behavior may trigger alerts, causal inference, attribution hypotheses, and deterrence simulations. Adversary behavior is forecast in latent space, enabling evaluation of intervention strategies with impact and timing assessments. Visualizations, alerts, and reports are generated based on latent divergence and simulation outputs.
    Type: Application
    Filed: June 2, 2025
    Publication date: August 13, 2026
    Inventors: Adam Estrada, Matt Flure, Dave Rabrun, Terry Hurlburt, Kristen E. Mistysyn, Nicholas Stephens, Michael Ludlam, Aaron Tirrell, Jacob Young, Tina Agarwal
  • Patent number: 12706938
    Abstract: A system is disclosed for generating a common intelligence picture through latent space fusion and threat forecasting. Priority intelligence requirements are processed using language and machine learning models to generate structured tasking and prioritize multi-modal sensor collection. Data from geospatial, cyber, radio frequency, and behavioral sources is embedded into domain-specific representations and fused into a unified latent space. The system models behavioral trajectories, detects anomalies, and maintains digital twins of entities and regions. Deviations from expected behavior may trigger alerts, causal inference, attribution hypotheses, and deterrence simulations. Adversary behavior is forecast in latent space, enabling evaluation of intervention strategies with impact and timing assessments. Visualizations, alerts, and reports are generated based on latent divergence and simulation outputs.
    Type: Grant
    Filed: June 2, 2025
    Date of Patent: August 11, 2026
    Assignee: GRVTY, INC.
    Inventors: Adam Estrada, Matt Flure, Dave Rabrun, Terry Hurlburt, Kristen E. Mistysyn, Nicholas Stephens, Michael Ludlam, Aaron Tirrell, Jacob Young, Tina Agarwal
  • Patent number: 12608818
    Abstract: A system and method for edge-deployed automated target recognition with distributed processing architecture. The system processes satellite sensor data directly at the edge using coordinated services for object detection and tracking. Detection services identify objects with geodetic localization while tracking services maintain persistent tracks across multiple frames. A message broker enables asynchronous communication between components and manages data flow for both real-time streaming and historical queries. The architecture supports track custody transfer between distributed nodes, allowing continuous object tracking across multiple satellite systems. This edge-based approach eliminates cloud processing dependencies and reduces latency from minutes to seconds. The system's distributed design enables autonomous operation at the sensor edge while maintaining coordination capabilities with other nodes, making it suitable for time-sensitive applications requiring real-time object recognition and tracking.
    Type: Grant
    Filed: October 7, 2025
    Date of Patent: April 21, 2026
    Assignee: GRVTY, INC.
    Inventors: Adam Estrada, Casey Backes, Kristen E. Mistysyn, Dave Rabrun, Nicholas Stephens, Kaleb Boyd
  • Patent number: 12488225
    Abstract: A modular open system architecture for common intelligence picture generation is disclosed. The system receives intelligence requirements through a multimodal artificial intelligence system and calculates collection feasibility across multiple intelligence sources based on physical and temporal conditions. The system develops integrated collection plans through the containerized analytics workbench using containerized analytics modules and processes intelligence through GPU-accelerated deep learning models for automated target recognition. Satellite collection is orchestrated through satellite data acquisition optimization platform by evaluating weather conditions, orbital parameters, and sensor capabilities, while space domain awareness is maintained through space domain awareness system for real-time collection asset management. Multi-source intelligence data is fused through multi-source intelligence fusion system to populate a common intelligence picture.
    Type: Grant
    Filed: February 26, 2025
    Date of Patent: December 2, 2025
    Assignee: ROYCE GEOSPATIAL CONSULTANTS, INC.
    Inventors: Adam Estrada, Dave Rabrun, Matthew Berra, Kevin Naquin, Michael Ludlam, Kristen E. Mistysyn, Nicholas Stephens, Jeffery Harlan
  • Publication number: 20070249036
    Abstract: An electroporator for high-throughput electroporation is constructed with a well plate in which each well has internal electrodes that extend beyond the opening of the well to form contact areas, either as horizontal platforms extending laterally from the well rims or as extended heights of thin electrode plates. The electroporator also includes a lid that contains circuitry and electrical contacts that mate with the exposed contact areas in the well plate. The interchangeability of lids allows the wells to be shocked according to different protocols.
    Type: Application
    Filed: January 25, 2007
    Publication date: October 25, 2007
    Applicant: Bio-Rad Laboratories. Inc.
    Inventors: Charles Ragsdale, John Fuller, Nicholas Stephens