Rania Kolaghassi
Papers
2
Total Citations
71
H-Index
2
About
Rania Kolaghassi is a pioneering researcher at the intersection of robotics, artificial intelligence, and rehabilitation engineering. Her work focuses on developing intelligent algorithms for gait analysis and prediction, with a particular emphasis on lower limb robotic systems such as exoskeletons and powered orthoses. Her most cited paper, a systematic review of intelligent algorithms in gait analysis and prediction for lower limb robotic systems (2021, 51 citations), has become a foundational resource for researchers working on assistive and rehabilitative technologies. In a groundbreaking 2022 study (20 citations), Kolaghassi advanced the field by demonstrating the performance of deep learning models in forecasting gait trajectories for children with neurological disorders—a critical step toward enabling real-time, feedforward control of powered ankle-foot orthoses and other robotic devices. Her work uniquely bridges the gap between computational modeling and clinical application, offering hope for improved mobility in pediatric populations with conditions like cerebral palsy. Kolaghassi’s contributions are shaping the future of personalized, AI-driven rehabilitation, making her a rising voice in the quest to restore movement and independence through intelligent robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2