Predictive Aerial Coverage Validation
Independent validation of a predictive cellular coverage model for low-altitude drone operations (Mcity/M-Air, 2026–2027)
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Methodology to Identify Physical or Computational Experiment Conditions for Uncertainty Mitigation
A methodology for designing computational or physical experiments that mitigate system-level uncertainty, demonstrated on an early-stage Blended-Wing-Body aircraft concept.
A Methodology for Identifying Experiments for Uncertainty Mitigation in Complex Multi-Disciplinary Design
A systematic methodology to identify and mitigate epistemic uncertainty in complex, multi-disciplinary aircraft design.
System-Level Identification of Critical Uncertainties to Enable Validation Experiments
Identifying the critical system-level uncertainties in a coupled aerostructural analysis to decide which validation experiments to run.