Grant Stagg

I build algorithms for safe autonomous flight in contested environments. My research focuses on probabilistic engagement zones, uncertainty propagation, and real-time path planning under adversarial conditions.

You can download my full CV here:

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Summary

I am a PhD student in Electrical and Computer Engineering at Brigham Young University, specializing in uncertainty-aware UAV path planning and probabilistic modeling in adversarial environments. My research integrates control theory, multi-agent coordination, and trajectory optimization for applications including radar avoidance, engagement zone learning, and real-time environmental estimation.

Education

Ph.D. in Electrical and Computer Engineering
Brigham Young University, Sep. 2021 – Present
• GPA: 4.0/4.0
• Utah NASA Space Grant Consortium Fellowship – Precision Mapping and Path Planning for UAV Navigation
• Relevant coursework: Linear and Nonlinear Systems, Robotic Vision, High-Performance Computing, Multi-Agent Systems, Predictive Modeling

B.S. in Electrical Engineering
Brigham Young University, Sep. 2017 – Apr. 2021
• Magna Cum Laude, GPA: 4.0/4.0

Research Interests

  • Probabilistic weapon engagement zones (PEZ)
  • Trajectory optimization under uncertainty
  • Radar-aware and stealth UAV navigation
  • Decentralized multi-agent path planning
  • Gaussian process regression and environmental estimation
  • Real-time optimization and high-performance computing

Contact