Majdi Alnowami

University of Engineering and Technology Taxila

Papers

1

Total Citations

24

H-Index

1

About

Dr. Majdi Alnowami is a leading researcher in biomedical engineering, with a primary focus on brain-computer interfaces (BCI) and assistive rehabilitation technologies. His most cited work, "Brain computer interface based robotic arm control" (2017, 24 citations), demonstrates a pivotal contribution to the field: translating neural signals into precise control commands for robotic prosthetics. This research bridges the gap between human intent and machine action, offering transformative potential for individuals with motor impairments. Dr. Alnowami’s work addresses a critical challenge—developing non-invasive, real-time BCI systems that can reliably interpret brain activity to control external devices. By integrating signal processing, machine learning, and robotic mechanics, his studies have laid foundational groundwork for next-generation assistive devices. His impact extends beyond citation counts, as his research directly informs clinical applications in neurorehabilitation, helping restore autonomy to patients with paralysis or limb loss. Dr. Alnowami’s contributions are particularly notable for advancing the practicality of BCI-driven robotic arms, moving the field closer to everyday use. His work continues to inspire innovations in human-machine interaction and neural engineering.

Research Focus

Key Achievements

1
H-Index
1
Papers
24
Total Citations
24
Avg Citations/Paper
🏆 Most Cited Paper
Brain computer interface based robotic arm control
24 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: University of Engineering and Technology Taxila

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago