Shareen Duncan

Professional Summary

Shareen Duncan is a visionary aerospace engineer and AI specialist pioneering airspace conflict resolution algorithms for flying cars. With expertise in air traffic management, swarm intelligence, and real-time decision systems, Shareen designs scalable solutions to ensure safe and efficient urban air mobility (UAM). Her work addresses the critical challenge of deconflicting mixed-altitude airspace shared by autonomous drones, eVTOLs (electric vertical takeoff and landing vehicles), and traditional aircraft.

Core Innovations & Expertise

1. Dynamic Conflict Resolution

• Develops self-learning algorithms that predict and mitigate mid-air collisions by:

  • Processing real-time data from ADS-B, LiDAR, and urban air traffic control (UTC) systems

  • Optimizing 4D trajectories (latitude, longitude, altitude, time) with <50ms latency

  • Integrating game theory for multi-agent cooperative/non-cooperative scenarios

2. Hybrid Airspace Management

• Creates layered deconfliction models for:

  • Low-altitude corridors (0–500m): Priority-based routing for emergency UAM

  • Transition zones (500–1,500m): Adaptive right-of-way rules for mixed fleets

  • High-altitude integration (1,500m+): Conflict-free merging with conventional aviation

3. Regulatory & Ethical AI

• Advises FAA/EASA on certifiable AI standards for UAM autonomy (e.g., DO-178C for software, EUROCAE ED-270 for ML)

• Publishes on explainable AI in AIAA Journal to ensure algorithmic transparency for aviation authorities

Career Milestones

• Led the algorithm team for SkyGrid (Boeing-Sponsored UAM Project), reducing near-miss incidents by 78% in simulated megacity environments.

• Patented a distributed conflict resolution protocol now adopted by 3 major eVTOL manufacturers.

• Spearheaded the first live test of swarm-based deconfliction at the Dubai Airshow 2024.