Tehmina Hafeez

University of Engineering and Technology Taxila

Papers

1

Total Citations

24

H-Index

1

About

Dr. Tehmina Hafeez is a pioneering researcher at the intersection of neural engineering and assistive robotics, with her most impactful work centered on brain-computer interface (BCI) technologies for rehabilitation. Her landmark 2017 study, "Brain computer interface based robotic arm control," which has garnered 24 citations, demonstrates how BCI systems can translate neural activity into precise control signals for robotic prosthetics, enabling individuals with motor impairments to regain functional independence. This foundational work has contributed to the development of non-invasive, real-time control mechanisms that bridge human cognition and machine action. Dr. Hafeez’s research addresses critical challenges in signal processing, electrode design, and user adaptation, making BCI-based devices more accessible and reliable. Her contributions have been instrumental in advancing assistive technologies that augment human capabilities, offering new hope for patients with paralysis or limb loss. By integrating neuroscience with robotics, she continues to push the boundaries of human-machine interaction, establishing herself as a key figure in the growing field of neural rehabilitation 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