Abdelrhman M. Bassiouny

Ain Shams University

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

2
H-Index
2
Papers
18
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Comparison of Different Computer Vision Approaches for E-waste Components Detection to Automate E-waste Disassembly
13 citations · 2021
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Ain Shams University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago