Aqsa Sultana

University of Dayton

Papers

1

Total Citations

4

H-Index

1

About

Aqsa Sultana is pioneering the future of autonomous flight on Mars. Her research centers on neuromorphic vision, event-based sensing, and explainable artificial intelligence, with a specific focus on enabling robust motion estimation for next-generation planetary drones. In her landmark 2024 paper, "Martian Flight," Sultana introduces a groundbreaking approach that combines a neuromorphic event-camera—a sensor that mimics the human eye’s efficiency, offering microsecond-level latency, high dynamic range, and drastically reduced power consumption—with an explainable fuzzy spiking neural network model. This work directly addresses the extreme computational and energy constraints of extraterrestrial exploration, providing a pathway for NASA’s Mars flying drones to navigate with unprecedented speed and reliability. Already garnering 4 citations in its first year, Sultana’s contribution is recognized as a critical step toward making autonomous flight on other worlds a practical reality. Her innovative fusion of bio-inspired hardware and interpretable AI not only advances space robotics but also sets a new standard for efficient, trustworthy autonomous systems in the most challenging environments.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Martian Flight: Enabling Motion Estimation of NASA's Next-Generation Mars Flying Drone by Implementing a Neuromorphic Event-Camera and Explainable Fuzzy Spiking Neural Network Model
4 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: University of Dayton

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago