Ping-Ju Lin
Papers
2
Total Citations
47
H-Index
2
About
Dr. Ping-Ju Lin is a leading researcher in neurorehabilitation engineering, whose work bridges artificial intelligence and robotics to transform stroke recovery. Her primary research areas include rehabilitation robotics, motor function assessment, and predictive modeling for patient outcomes. Dr. Lin’s major contributions center on developing quantitative, data-driven methods to understand and enhance recovery. She pioneered a transferable deep learning prognosis model that predicts stroke patients’ recovery trajectories across different rehabilitation trainings, addressing the critical challenge of variable treatment outcomes (29 citations). Additionally, she designed an end-effector upper limb rehabilitation robot with admittance control, enabling quantitative assessment of motor function recovery—a significant advance over subjective clinical scales (18 citations). Her work has profound implications for personalized rehabilitation, allowing clinicians to tailor therapies based on predicted recovery paths. Dr. Lin’s research is notable for its direct clinical applicability, offering both diagnostic tools and therapeutic interventions that improve patient care. With a growing citation impact, she is establishing herself as a key innovator in the intersection of robotics, machine learning, and neurorehabilitation.
Research Focus
Key Achievements
Top Papers
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