Session D12: AI/Machine Learning (ML) for PNT: PNT Situational Awareness Focus

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Date: Wednesday, June 3, 2026
Time: 4:00 p.m. - 5:30 p.m.
Location: Meeting Room 6-8

Session Chairs:

Dr. Camila Francolin Draper	Brent Abbott Safran Federal Systems

4:05 p.m.	Position Navigation and Timing Situational Awareness Sensor: Noah Lewis, National Research Council Post-Doctoral Fellowship Program, Air Force Research Laboratory, Space Vehicles Directorate, Kirtland AFB; Erik Rennspiess, Air Force Research Laboratory, Space Vehicles Directorate
4:25 p.m.	RF Signal Source Geolocation Using a Single Sensor: Tyler Long, Joseph Smith, William Travis, IS4S; Amelia Fortmayer, Deepika Chona, US Army DEVCOM C5ISR Center
4:45 p.m.	Interference-Informed GNSS Receiver Configurations: Mitchell Rudy, Sanjeev Gunawardena, Timothy Machin, Christine Schubert Kabban, Air Force Institute of Technology
5:05 p.m.	Analysis of Field Test Results for an AI/ML-Based Decision Aid: Thomas Blenk, Kevin Schaal, Ekta Patel, Capability Program Executive Ammunition & Energetics; William Travis, Robert Daily, Kelly Chumley, Integrated Solutions for Systems; Rachel Cooper, The MITRE Corporation
Alternates
1.	DLPC-based Jammer Signal Classification Technology and Test Results for SA: Christopher Zarowski, Ryan Young, Cedric Logan, and Nareshbabu Jarmale Mayflower Communications Company Inc.; Nhut Vo, Caroline Waiyaki, Eric Bickford, and John Del Colliano U.S. Army DEVCOM C5ISR
2.	Formal Constraint Verification for AI-Enhanced PNT: Ensuring Trusted Autonomy Through Provable Integrity Monitoring: Tiffany Alexis Ceasor, Technological Society of Applied Research

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