Oussama Abdul Hay
Papers
4
Total Citations
20
H-Index
3
About
Oussama Abdul Hay is at the forefront of integrating advanced sensing and automation into robotic systems, with a primary focus on aero-engine maintenance, tactile sensing, and event-based vision. His work bridges the gap between traditional manual procedures and Industry 4.0 automation, most notably through his development of a vision-guided robotic system for aero-engine blade inspection and dynamic balancing. This research addresses a critical bottleneck in aircraft maintenance, replacing manual weighing processes with automated precision. In the realm of perception, Hay introduced E-POSE, a large-scale event camera dataset for object pose estimation, and advanced relative localization of dynamic obstacles using motion segmentation—both leveraging the high dynamic range and temporal resolution of event cameras to overcome the limitations of conventional sensors. He also developed PiezoSight, a hybrid sensing system that couples vision-based tactile sensors with piezoresistive stimulation, enhancing touch feedback without extensive calibration. With his most cited work accumulating 11 citations in under a year, Hay’s contributions are rapidly gaining recognition for their practical impact on robotic safety, manipulation, and industrial automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2E-POSE: A Large Scale Event Camera Dataset for Object Pose Estimation4 citations · 2025
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