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Electromagnetic Warfare Research Team
Advancing Army electromagnetic warfare capabilities through applied research, spectrum data processing, governance, artificial intelligence, and hands-on RF experimentation.
The Electromagnetic Warfare Research Team conducts applied research focused on the technologies, data, governance, and operational challenges shaping the future of electromagnetic warfare. The team works with Army and Department of Defense stakeholders to improve spectrum awareness, develop and evaluate emerging capabilities, strengthen EW education and training, and support the integration of artificial intelligence into electromagnetic warfare operations.

Research Areas

Electromagnetic Warfare Governance
Examine governance, organizational relationships, force design, and policy challenges affecting the Army's ability to operationalize electromagnetic warfare.
Spectrum Data & Signal Processing
Develop approaches for processing and exploiting electromagnetic spectrum data, including collection infrastructure, compression, fingerprinting, classification, and geolocation.
Artificial Intelligence for EW
Explore artificial intelligence and machine-learning approaches for RF systems, signal classification, optimization, spectrum analysis, and electromagnetic warfare decision support.
EW Education & Experimentation
Develop hands-on training, curriculum, experimentation environments, and research partnerships that improve electromagnetic warfare knowledge across the force.

Current Primary Projects

EW GOVERNANCE
EW Governance Study
Examines governance as a central challenge affecting the Army's ability to organize and operationalize electromagnetic warfare.
  • Analyzes governance challenges and opportunities affecting Army EW.
  • Develops recommendations for improving how electromagnetic warfare is operationalized through strategic governance processes.
  • Supports Army EW force design and informs broader discussions about the future of electromagnetic warfare.
SPECTRUM DATA
EW Spectrum Data Processing Architecture
Establishes an electromagnetic warfare data-processing architecture and layered framework for collecting, processing, and exploiting spectrum data.
  • Examines remote and local collection infrastructure.
  • Explores compression, fingerprinting, and GPS-denied geolocation.
  • Supports force-development, acquisition, and doctrinal efforts across the EW community.
  • Expands research collaboration with Army, joint, and external partners.
EDUCATION + AI
RF Training Village with AI Assistant
Provides a packaged RF and software-defined radio training environment designed to develop practical electromagnetic warfare skills.
  • Uses an AI assistant to guide students through operation of RF and SDR tools without simply providing answers.
  • Supports deeper understanding of electromagnetic concepts through hands-on challenges.
  • Provides a reusable training environment for Army units, students, and research partners.

Additional Research & Initiatives

Campus Matrix
Automated curriculum-development effort supporting electromagnetic warfare education and training.
AI vs. Algorithmic Optimization for RF Systems
Research comparing artificial intelligence approaches with traditional algorithmic optimization techniques for radio-frequency systems.
AI105 EW Familiarization
Educational content introducing electromagnetic warfare concepts and capabilities to cadets.
Integrating Influence and AI
Research and educational work examining the intersection of artificial intelligence, influence, and the electromagnetic environment.

Researchers

LTC Josh Groen
Division Chief
LTC Ash Holzmann
Jack Voltaic
CW4 James Turner
EW Researcher
MAJ Caleb Hill
EW Researcher
MAJ Dan Burrow
EW Researcher
CPT Brady Hannula
EW Researcher
Dr. Ravi Starzl
External Research Partner

Resources