Peter Schneider

Leading AI/ML projects focused on deep learning in areas that include computer vision, synthetic aperture radar (SAR), Large Language Models (LLMs), graph neural networks (GNNs), temporal data, RF and signal processing.

• Principal Investigator for Strike Aligned AI Research.
• Complex-valued neural networks better exploiting both magnitude and phase in SAR and optical data; successful SAR ATR demo deployed on Triton.
• GNNs with heterogenous graphs for various applications, including for multi-view multi-object tracking.
• Hyperbolic neural networks improving performance with hierarchical data.
• Multiple roles as AI/ML Subject Matter Expert at the sector level including advising corporate direction as member of the Enterprise AI Governance Council and providing mentorship in corporate AI programs.

Deep learning with SAR imagery.

• Research and development of complex-valued neural networks exploiting both magnitude and phase data in SAR under National Geospatial-Intelligence Agency (NGA) Boosting Innovative GEOINT BAA.
• Evaluated domain shift bias from training with synthetic data; combined collected with synthetic data using transfer learning to significantly improve model performance.
• Redeveloped existing models to modern SOTA single-shot architectures improving performance.
• Presented work at 2020 SAREM forum in Chantilly, Virginia.

Machine learning and autonomy, worked with the Cognitive Autonomy Research Group.

• Developed and trained deep learning models for multiple projects including perception with satellite imagery and anomaly detection with time-series telemetry data.
• Developed trajectory optimization and nonlinear state estimation algorithms as well as accompanying simulation platform for autonomous formation flying.

Machine learning, Guidance, Navigation & Control (GNC), and modeling/simulation for national security space in support of the U.S. Space Force and National Reconnaissance Office (NRO).

• Lead a team working on the next generation GPS satellite constellation (GPS Block III) and worked on other satellites, launch vehicles (Atlas V and Falcon), and missile systems.

Guidance, Navigation & Control (GNC) and modeling/simulation for satellites.

• Developed new control layer capable of autonomously navigating satellites through on-orbit scenarios from the ground and software tools to improve autonomous accounting of propellant usage.

Guidance, Navigation & Control (GNC) and modeling/simulation for the GOES satellite constellation operated by NOAA.

• Presented a paper on thruster leak analysis at the SpaceOps 2010 Conference in Huntsville, Alabama.