Abdelqader Abusafieh
Stratasys (Israel), Khalifa University of Science and Technology
Papers
5
Total Citations
43
H-Index
3
About
Abdelqader Abusafieh is a pioneering researcher at the intersection of neuromorphic vision, tactile sensing, and automated manufacturing. His work focuses on developing bio-inspired perception systems that enable robots to see and feel with unprecedented speed and efficiency. Abusafieh’s major contributions include the creation of high-speed neuromorphic vision-based inspection systems for countersinks in aerospace and automotive assembly lines, achieving 21 citations for his 2023 paper on this topic. He also developed CM-UNet, a ConvMixer-based segmentation architecture for cluttered scenes (12 citations), and NeuTac, a zero-shot sim-to-real framework for neuromorphic vision-based tactile sensors (6 citations). His recent work on multi-layered vision-based tactile sensors (ML-VBTS) addresses the critical trade-off between sensitivity and measurement range, pushing the boundaries of robotic tactile perception. Abusafieh’s research has direct implications for industrial automation, robotic grasping, and human-robot interaction, demonstrating how neuromorphic principles can overcome the limitations of traditional sensing pipelines. His innovative approaches to sim-to-real transfer and object segmentation in unstructured environments mark him as a rising leader in embodied AI and intelligent manufacturing.
Research Focus
Key Achievements
Top Papers
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