Papers
11
Total Citations
1,328
H-Index
7
About
Solaiman Shokur is a pioneering neuroscientist and roboticist whose work sits at the intersection of brain-machine interfaces (BMIs), neurorehabilitation, and human augmentation. His most impactful contributions include demonstrating that long-term BMI training can induce partial neurological recovery in paraplegic patients—a landmark finding published in *Scientific Reports* with over 430 citations—and developing the first active tactile exploration system using a brain-machine–brain interface, which has garnered over 630 citations. Shokur’s research has fundamentally shifted the understanding of neuroplasticity and recovery after spinal cord injury, showing that BMI-driven motor training can promote functional restoration even years after injury. More recently, he has explored the frontiers of human augmentation, investigating how extra robotic limbs can be integrated without interfering with natural motor control—a challenge he frames as the “neural resource allocation problem.” His work on sensory feedback for prosthetics, including thermal and wetness perception, pushes toward more natural, embodied artificial limbs. Shokur’s research is characterized by its translational ambition, bridging fundamental neuroscience with real-world clinical and assistive technologies.
Research Focus
Key Achievements
Top Papers
- 1Active tactile exploration using a brain–machine–brain interface634 citations · 2011
- 2
- 3Current Solutions and Future Trends for Robotic Prosthetic Hands107 citations · 2021
- 4
- 5
- 6Toward a person-follower robot14 citations · 2005
- 7A sensory-motor hand prosthesis with integrated thermal feedback10 citations · 2024
- 8
- 9
- 10Remapping Wetness Perception in Upper Limb Amputees3 citations · 2024