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About

Yongquan Liu is a pioneering researcher at the intersection of neural engineering and soft robotics, whose work is transforming post-stroke rehabilitation. His most influential contribution, the development of a **SSVEP-based brain-computer interface (BCI) controlled soft robotic glove**, has garnered over 100 citations and represents a paradigm shift in neurorehabilitation. By integrating steady-state visual evoked potentials (SSVEP) with a compliant, wearable exoskeleton, Liu’s system enables intuitive, real-time control of hand movements, directly translating neural intent into mechanical action—a critical advancement over traditional motor imagery (MI) approaches. This technology offers a non-invasive, patient-responsive tool for restoring motor function in stroke survivors, bridging the gap between brain signals and physical therapy. Beyond rehabilitation, Liu has also contributed to the physics of wave propagation, notably through the **active encoding of flexural waves using the non-diffractive Talbot effect**, demonstrating self-focusing properties in thin plates via a Mikaelian lens design. This work, validated through simulations and experiments, opens new avenues for structural health monitoring and acoustic metamaterials. With a dual focus on applied neural interfaces and fundamental wave mechanics, Liu’s research is distinguished by its translational impact—bringing cutting-edge BCI and soft robotics directly into clinical practice—and its interdisciplinary rigor, making him a leading voice in the future of assistive technology and smart materials.