Dr. Jing Zhao | Brain-Computer Interface | Best Researcher Award
Doctorate at Yanshan University, China
Profiles
Summary
Dr. Jing Zhao is an Associate Professor at Yanshan University, specializing in brain-machine hybrid intelligence and brain-computer interfaces. He has led multiple national and provincial research projects and received media recognition for his innovations in intelligent robotics, including a live demo at the World Robotics Congress 2022.
Education
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B.S. in Automation β Shandong University (2008)
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M.S. in Measuring & Testing Technologies β 4th Academy of CASC (2011)
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Ph.D. in Control Science & Engineering β Tianjin University (2016)
Professional Experience
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Associate Professor, Department of Automation, Yanshan University
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Reviewer for IEEE TNSRE, Neural Networks, and other leading journals
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Committee Member, Neural Regeneration and Repair, Chinese Society of Research Hospitals
Research Interests
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Brain-Computer Interface (BCI)
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Brain-Machine Hybrid Intelligence
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Embedded Brain-Controlled Robotics
Publications
Edge-Assisted Multi-Robot Visual-Inertial SLAM With Efficient Communication
- Authors: Xin Liu, Shuhuan Wen, Jing Zhao, Tony Z. Qiu, Hong Zhang
Journal: IEEE Transactions on Automation Science and Engineering
Year: 2025
Discriminating brainwave patterns of different control and non-control states for enhancing asynchronous brain-computer interfaces
- Authors: Jing Zhao, Jiaxin Li, Xinrui Wang, Qian Zhang, Zheng Li, Zhenhu Liang
Journal: Expert Systems with Applications
Year: 2024
A Hybrid Method Fusing Frequency Recognition With Attention Detection to Enhance an Asynchronous Brain-Computer Interface
- Authors: Jing Zhao, Ye Shi, Wenzheng Liu, Tianyi Zhou, Zheng Li, Xiaoli Li
Journal: IEEE Transactions on Neural Systems and Rehabilitation Engineering
Year: 2023
Recognition of the idle state based on a novel IFB-OCN method for an asynchronous brain-computer interface
- Authors: Wei Zhang, Tianyi Zhou, Jing Zhao, Bolun Ji, Zhengping Wu
Journal: Journal of Neuroscience Methods
Year: 2020
Decision-Making Selector (DMS) for Integrating CCA-Based Methods to Improve Performance of SSVEP-Based BCIs
- Authors: Jing Zhao, Wei Zhang, James H. Wang, Wei Li, Chengwei Lei, Genshe Chen, Zhenhu Liang, Xiaoli Li
Journal: IEEE Transactions on Neural Systems and Rehabilitation Engineering
Year: 2020