Papers
7
Total Citations
81
H-Index
5
About
Tianyi Yan is a researcher working at the intersection of neuroscience, brain-computer interfaces (BCIs), and human-machine interaction, with a particular focus on applying neural engineering to rehabilitation, robotics, and cognitive neuroscience. His early work examined neural dynamics in clinical populations, notably demonstrating altered brain functional connectivity during facial processing in schizophrenia through EEG analysis, a study that has garnered 24 citations and highlighted his grounding in neuroimaging methodologies. Yan's research has since evolved toward developing sophisticated BCI-driven systems, including brain-controlled navigation robots, hand exoskeletons, and robotic arms for manufacturing environments. A hallmark of his contributions is the fusion of cutting-edge technologies — augmented reality visual stimulation, LiDAR SLAM navigation, and steady-state visual evoked potentials (SSVEPs) — to enhance BCI system performance and real-world applicability. His augmented reality-based BCI paradigm demonstrated a 64% improvement in task efficiency over traditional approaches, a compelling advance for assistive technology. With cumulative citations exceeding 80 across his major works, Yan has established a productive research trajectory bridging fundamental neuroscience and applied engineering. His ongoing work in IoT-integrated robotic arm control signals a forward-looking vision for intelligent human-machine collaboration in complex, real-world scenarios.
Research Focus
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Top Papers
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