Papers
2
Total Citations
14
H-Index
2
About
Zhaohui Li’s research bridges the frontiers of optical engineering and neural rehabilitation, with a focus on dynamic polarization control and brain-computer interfaces (BCIs). In optics, Li developed Jacobian-based algorithms for dynamic polarization control (DPC), enabling endless, high-speed polarization tracking in applications like telecommunications and sensing. Their 2023 paper on Jacobian methods, with 12 citations, introduced efficient solutions to a long-standing challenge in optical systems. In neural engineering, Li pioneered a hybrid BCI that integrates motor imagery (MI) with steady-state visual evoked potentials (SSVEP) from peripheral field stimulation, specifically designed for upper limb rehabilitation. This 2025 work, already garnering 2 citations, offers a more intuitive and effective approach for stroke patients, combining cognitive and visual feedback to enhance motor recovery. By merging theoretical algorithm design with practical rehabilitation tools, Li’s contributions demonstrate cross-disciplinary impact, advancing both fundamental optical control and assistive neurotechnology. Their work holds promise for real-time adaptive systems in medicine and communications.
Research Focus
Key Achievements
Top Papers
- 1Jacobian methods for dynamic polarization control in optical applications12 citations · 2023
- 2