Papers

3

Total Citations

125

H-Index

3

About

Dr. Sherin M. Youssef is a pioneering researcher at the intersection of intelligent automation, biomedical signal processing, and assistive robotics. Her work spans from foundational contributions in automated barcode recognition for smart industrial inspection—a paper that has garnered 72 citations since 2006—to cutting-edge innovations in brain-computer interfaces (BCIs). Dr. Youssef’s major contributions lie in fusing electroencephalography (EEG) and electromyography (EMG) signals to create hybrid control systems for upper limb prostheses, enabling amputees to leverage both neural and muscular signals for more intuitive, precise movement. Her 2021 study on deep learning models for motion classification using EEG and EMG fusion (38 citations) demonstrates how AI can decode complex bio-signals to drive real-time prosthetic control. Notably, her 2018 work on hybrid BCIs (15 citations) directly addresses the challenge of restoring natural limb function, turning brain signals into actionable commands. With a career that bridges industrial automation and life-changing biomedical applications, Dr. Youssef’s research continues to shape the future of smart identification systems and human-machine interaction, offering tangible hope for individuals with limb loss.

Research Focus

Key Achievements

3
H-Index
3
Papers
125
Total Citations
42
Avg Citations/Paper
🏆 Most Cited Paper
Automated barcode recognition for smart identification and inspection automation
72 citations · 2006
📈 Most Prolific Year: 2006 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Arab Academy for Science, Technology, and Maritime Transport

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago