Abdelrhman M. Bassiouny
Papers
2
Total Citations
18
H-Index
2
About
Abdelrhman M. Bassiouny is a researcher at the forefront of sustainable robotics, specializing in the intersection of computer vision and autonomous manipulation for electronic waste (e-waste) recycling. His work directly addresses the urgent environmental and health crises posed by the world’s fastest-growing waste stream. Bassiouny’s major contributions lie in developing intelligent, non-destructive systems that can identify and disassemble valuable electronic components, moving beyond traditional, hazardous shredding methods. His most-cited paper, “Comparison of Different Computer Vision Approaches for E-waste Components Detection to Automate E-waste Disassembly” (2021, 13 citations), provides a critical benchmark for the field, evaluating various algorithms to enable robots to “see” and sort e-waste. Complementing this, his work on “Autonomous Non-Destructive Assembly/Disassembly of Electronic Components using A Robotic Arm” (2021, 5 citations) demonstrates a practical, robotic solution for recovering precious raw materials. By bridging the gap between advanced computer vision and robotic dexterity, Bassiouny is pioneering the technologies needed to create a circular economy for electronics, making recycling more efficient, safer, and economically viable.
Research Focus
Key Achievements
Top Papers
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