Wuqi Wang
Engineer Assistant at Institute of Automation, Chinese Academy of Sciences
Haidian District, Beijing, China
Summary
👤
Senior🎓
Top SchoolWuqi Wang is an engineer assistant with nine years of experience focused on brain-computer interfaces and EEG/sEMG signal processing at the Institute of Automation, Chinese Academy of Sciences in Beijing. He holds a master's in Control Theory and Control Engineering and has conducted dedicated BCI research within the Institute, combining control systems thinking with neuro-signal analytics. Wuqi’s background in mechatronic engineering supports a hands-on approach to experimental systems and embedded instrumentation for biosignal acquisition. He blends academic rigor with practical lab experience, often translating complex signal-processing methods into deployable prototypes for neural interfacing. Based in Haidian District, he brings a sustained research trajectory that bridges control theory, neuroengineering, and applied hardware-software integration.
9 years of coding experience
Bachelor's degree, Mechatronic Engineering, Bachelor's degree, Mechatronic Engineering at Wuhan University of Science and TechnologyMaster's degree, Control Theory and Control Engineering, Master's degree, Control Theory and Control Engineering at Harbin University of Science and Technologyresearch in Brain Computer Interface, research in Brain Computer Interface at Institute of Automation, Chinese Academy of Sciences
Github Skills (83)
chatgpt9
tauri9
webui9
nextjs9
desktop9
react9
cross-platform9
neuroscience9
statistics8
ollama8
gemini8
python8
neuroimaging8
visualization8
claude8
Programming languages (7)
Github contributions (5)
wangwuqi/stanford-tensorflow-tutorial
Dec 2018 - Dec 2018
Contributions:18 commits, 12 pushes, 1 branch in 11 days
wangwuqi/Integrated-Circuit-Conference
Nov 2018 - Dec 2018
Contributions:6 commits, 5 pushes, 1 branch in 10 days
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