Research
Aviation safety grounded in measurable human performance.
My doctoral work examined pilot vigilance, gaze, control behavior, and multimodal cognitive monitoring. The broader objective is to design aviation AI that remains accountable to operational context and human judgment.
Peer-reviewed publications
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Relationships Between Pilot Gaze Patterns and Control Lapses in Challenging Instrument Approach Flight
The International Journal of Aerospace Psychology
https://doi.org/10.1080/24721840.2025.2531740
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Real-Time Pilot Cognitive Monitoring via Multimodal Fusion of Gaze and Control Signals: A Wavelet Scalogram Deep Learning Approach
Lecture Notes in Networks and Systems
https://doi.org/10.1007/978-3-031-97992-7_10
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Enhancing Pilot Vigilance Assessment: The Role of Flight Data and Continuous Performance Test in Detecting Random Attention Loss in Short IFR Flights
Journal of Air Transport Management
https://doi.org/10.1016/j.jairtraman.2024.102673
Doctoral work
PhD, Aerospace Engineering
Dissertation on fatigue-risk-management-based pilot alertness monitoring using multimodal deep learning. Defended August 27, 2025.
- Institution
- Sharif University of Technology
- Period
- 2020-2025
- ORCID
- 0009-0007-2881-2579
Research themes
- Pilot vigilance and attention
- Gaze, head pose, and control behavior
- Multimodal cognitive-state monitoring
- Fatigue risk management systems
- Human-centered aviation AI
- Simulation-based experimental design