AT

Abenezer Taye

Vanderbilt University

Research & Projects

Cutting-edge research in Advanced Air Mobility, autonomous systems, and energy-efficient aviation solutions.

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NASA System-Wide Safety: In-Time Learning-Based Safety Management

NASA System-Wide Safety: In-Time Learning-Based Safety Management

Technical Thrust Lead2022 - Present

Leading a NASA-funded project to develop a scalable, data-driven safety management system for Advanced Air Mobility operations.

  • Designed mission feasibility framework integrating battery prognostics
  • Evaluated impact of adverse weather on flight safety
  • Demonstrated framework in drone delivery and urban air taxi scenarios
PythonTensorFlowReinforcement LearningMDP
Learning-based Li-ion Battery Modeling for Online Decision Making

Learning-based Li-ion Battery Modeling for Online Decision Making

Technical LeadSept 2022 - Present

Developed real-time predictive models for Li-ion batteries using Neural ODEs and Physics-Informed Neural Networks.

  • 33× speedup in battery state prediction
  • Enabled mission feasibility assessment and mid-flight replanning
  • Maintained accuracy under computational constraints
PyTorchNeural ODEsPhysics-Informed Neural NetworksPython
Safe, Scalable, and Energy-Efficient Trajectory Planner for AAM Operations

Safe, Scalable, and Energy-Efficient Trajectory Planner for AAM Operations

Technical Lead2021 - 2024

Developed a real-time multi-agent trajectory planner for urban air mobility operations.

  • Integrated reachability analysis with scalable MDP framework
  • Enhanced safety with action-shielding and reward shaping
  • Optimized energy efficiency using aircraft modeling
PythonOpenAI GymReachability AnalysisMulti-Agent Systems
Energy Demand Analysis for eVTOL Aircraft in Urban Air Mobility

Energy Demand Analysis for eVTOL Aircraft in Urban Air Mobility

Technical Lead2023 - 2024

Forecasting charging demand for electric vertical takeoff and landing aircraft in urban air mobility.

  • Integrated energy consumption models with wind forecasts
  • Estimated aggregated power demand at vertiports
  • Enabled proactive energy planning and infrastructure optimization
PythonData AnalysisEnergy ModelingForecasting

Testing Platforms & Infrastructure

State-of-the-art platforms used for validating and testing novel AAM concepts and technologies.

eVTOL simulators

eVTOL simulators

High-fidelity simulation environments for electric vertical takeoff and landing aircraft

sUAS hardware flight testing

sUAS hardware flight testing

Real-world testing with small unmanned aerial systems

Battery digital twins

Battery digital twins

Virtual replicas of battery systems for predictive maintenance and optimization

UAM/UAS transportation networks

UAM/UAS transportation networks

Network simulation and optimization for urban air mobility systems

Research Impact

My research contributes to safer, more efficient, and sustainable aviation through advanced autonomous systems and energy optimization.

Key Metrics

$2.5M+

NASA Funding

5+

Projects

33×

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