Saiedeh Akbari
Papers
1
Total Citations
3
H-Index
1
About
Saiedeh Akbari’s research lies at the intersection of rehabilitation robotics, human-robot interaction, and hybrid control systems, with a focus on restoring mobility for individuals with neurological injuries. Her most-cited work introduces a novel hybrid systems framework for dual-objective functional electrical stimulation (FES) cycling, a technique that combines motorized assistance with electrically stimulated muscle activation to improve rehabilitation outcomes. By modeling the complex interplay between the cycle’s motor and the rider’s impaired leg muscles, Akbari’s approach enables safer, more efficient, and adaptive cycling therapy—a critical advance for patients with spinal cord injuries or stroke. With over 3 citations on this key paper, her contributions are gaining recognition for their potential to personalize neurorehabilitation. Akbari’s work exemplifies how control theory can directly enhance quality of life, bridging engineering and clinical practice. Her research continues to push boundaries in assistive technology, offering hope for more effective, data-driven recovery strategies.
Research Focus
Key Achievements
Top Papers
- 1