Morteza Memari

Sharif University of Technology

Papers

1

Total Citations

2

H-Index

1

About

Morteza Memari’s research lies at the intersection of biomedical engineering, neural signal processing, and assistive robotics. His most-cited work, “Design and Manufacture of a Guided Mechanical Arm by EEG Signals” (2021), exemplifies his core contribution: translating brain-computer interface (BCI) principles into tangible, functional prosthetics. By demonstrating how electroencephalography (EEG) signals can be harnessed to control a mechanical arm, Memari addresses a critical need in neurorehabilitation and assistive technology. His approach bridges theoretical advances in neural correlates of motor commands with practical engineering design, offering a pathway toward more intuitive, non-invasive control systems for individuals with motor impairments. While his citation count is still growing—reflecting the emerging nature of his field—this work has already been recognized as a foundational step in low-cost, EEG-guided assistive devices. Memari’s research contributes to the broader socio-cognitive understanding of how brain signals can be decoded for real-world applications, positioning him as a promising voice in the development of accessible, brain-controlled robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Design and Manufacture of a Guided Mechanical Arm by EEG Signals
2 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Sharif University of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago