Lau Ha Chloe Chung
Papers
2
Total Citations
11
H-Index
2
About
Lau Ha Chloe Chung is a pioneering researcher at the intersection of neurorehabilitation and human–machine interaction. Her work centers on developing personalized, multimodal brain–computer interface (BCI) systems that integrate electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) to restore upper limb function in chronic stroke patients. Her most-cited paper (2025, 9 citations) introduces a groundbreaking BCI–soft robotics system that fuses electrical and hemodynamic brain signals to improve rehabilitation outcomes. A follow-up study (2025, 2 citations) extends this approach by incorporating a data-driven, personalized framework with a soft robotic glove, demonstrating how adaptive stimulation protocols can enhance motor recovery. Chung’s contributions are notable for their translational impact—bridging non-invasive neuroimaging, machine learning, and wearable robotics to create closed-loop therapies tailored to individual neural signatures. Her work has already garnered early citations, signaling its influence in the rapidly evolving field of assistive neurotechnology. By advancing multimodal BCI design, Chung is helping to redefine what is possible for stroke survivors, offering hope for more effective, accessible, and personalized rehabilitation.
Research Focus
Key Achievements
Top Papers
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