Zeeshan Shahid
Papers
1
Total Citations
4
H-Index
1
About
Zeeshan Shahid is a researcher at the forefront of Brain-Computer Interface (BCI) technology, with a focused mission to restore autonomy to individuals with severe motor disabilities. His most cited work, “An Implementation of Electroencephalogram Signals Acquisition to Control Manipulator through Brain Computer Interface” (2019, 4 citations), demonstrates a practical system where EEG signals are acquired and translated into commands for a robotic manipulator. This design is specifically tailored to assist paralyzed patients and those suffering from Amyotrophic Lateral Sclerosis (ALS) or locked-in syndrome, offering a non-invasive pathway to interact with the physical world. By bridging neural activity with electromechanical control, Shahid’s contribution addresses a critical gap in assistive robotics: creating intuitive, real-time interfaces that bypass damaged neural pathways. While his citation count is modest, the applied nature of his work—directly targeting clinical rehabilitation—highlights its potential for real-world impact. Shahid’s research sits at the intersection of biomedical engineering, signal processing, and human-robot interaction, laying foundational groundwork for future BCI-driven prosthetics and communication aids.
Research Focus
Key Achievements
Top Papers
- 1