Neural Engineering is one of the most exciting inter-disciplinary
technologies to impact neuroscience and information science,
computation, and robotics. A greater understanding of the brain
and how it learns, acts, and interprets the world has immensely
impacted the development of Brain-Machine Interface (BMI) and the
design of bio-inspired robots. The ambition is to reach beyond the
phenomena observation, but to understand, harness, and recreate the
mechanism in engineering design. The development of the novel device
allows the acquisition of in vivo single neural activity. The AI
approach enhances our understanding of how the brain processes
the information during learning and interprets brain intention into
real-time prosthesis control command. The application using BMI
technology aims to build engineering approaches to diagnose the
impairment and restore the cognitive functions for the disabled,
such as memory loss, motor paralyze, and attention deficit etc.
We are interested in developing interdisciplinary and integrative approaches
to study brain plasticity and incorporate it as an integral part of the
overall effort to revolutionize neuro-prosthesis design. More specifically,
we develop computational models on how the brain adjusts neural patterns,
pass information across cortical areas, and generates accurate autonomous
moor control on neuroprosthetic devices via learning and adaptation to the
environmental demand. The significance of the study is to provide a quantitatively
dynamic understanding of the neuroplasticity from multiple scales, which sheds
light on fully interpreting the essence of plasticity for neuroscience. From
an engineering point of view, it will revolutionize the design of BMI from
the rigid motion executor to the next generation, an intelligence learner
capable of performing various movements through learning. Its translation
impact is to yield stable performance with generalization over multiple movement
tasks, which makes clinic trial realistic for an individual with motor disability
with long-term use and full motor function restore.
News
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Aug, 2024
Zhiwei Song wins the ECE Best Teaching Assistant Award for the academic year 2023/24.
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Jul, 2024
Congratulations to Jieyuan Tan, Zhiwei Song, and Shenghui Wu for winning the HKUST Redbird Scholarship!
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Dec, 2023
Mingyi Wang wins the best student paper award at the IEEE Engineering in Medicine & Biology Society (EMBS).
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Oct, 2023
Zhiwei Song wins the IEEE SMC conference student grant.
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Aug 30, 2023
Shenghui Wu wins the ECE Best Teaching Assistant Award for the academic year 2022/23.
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Aug 6, 2023
The 4th International Workshop on Neural Engineering and Rehabilitation is successfully lauched.
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Aug 1, 2023
Zixu Wang is awarded the Hong Kong University of Science and Technology Redbird Scholarship.
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Jun 17, 2023
Prof. Yiwen Wang has been honored with 2023 EMBS Distinguished Service Award.
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Jun 16, 2023
Shenghui Wu is awarded the Hong Kong University of Science and Technology Redbird Scholarship.
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Jun 14, 2023
Mingyi Wang wins the best poster award at the CBE 30th Anniversary Conference 2023.
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May 24, 2023
Congratulations to Dr. Yifan Huang!
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Dec 5, 2022
Congratulations to Shenghui Wu for passing his PhD Qualifying Exam (PQE)!
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Nov 30, 2022
Congratulations to Mingdong Li for passing his PhD Qualifying Exam (PQE)!
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Jul, 2022
Congratulations to Zhiwei Song and Jieyuan Tan for passing their MPhil defenses!
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Jun, 2022
Congratulations to Prof. Wang for getting tenured!
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Jun, 2022
Congratulations to Dr. Shuhang Chen and Dr. Xiang Shen!
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May, 2022
The 3rd International Workshop on Neural Engineering and Rehabilitation is successfully lauched.
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Apr 6, 2022
Jieyuan Tan and Zhiwei Song are awarded the Hong Kong PhD Fellowship Scheme (HKPFS).
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Apr 1, 2022
Prof. Yiwen Wang has been appointed as an EMBS Distinguished Lecturer for 2022.
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Mar 2, 2022
Prof. Yiwen Wang is promoted to the Chair of the IEEE EMBS Neuroengineering technical committee.
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Aug 28, 2021
Zhiwei Song wins the third prize at the IEEE EMB Hong Kong-Macau Joint Chapter Student Project Competition 2021.
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Aug, 2021
Congratulations to Dr. Xiang Zhang!
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Aug 11, 2021
Shenghui Wu is awarded the Hong Kong University of Science and Technology Redbird Scholarship.
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Jul 7, 2021
Waterloo international workshop on neural engineering and rehabilitation is successfully lauched.
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Oct 11, 2020
Yifan Huang wins the best student paper award at the IEEE International Conference on Systems, Man, and Cybernetics 2020.
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Sep 17, 2020
Prof. Yiwen Wang has been invited to serve as the Vice Chairperson for Neuroengineering Technical Committee (NETC) in IEEE Engineering in Medicine & Biology Society (EMBS).
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Aug 17, 2020
IEEE Brain Virtual Summer School 2020 is successfully launched.
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May 8, 2020
Prof. Yiwen Wang has been elected as the member of the board of the Brain Computer Interfaces (BCI) Society.
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Jun 3, 2019
IAS workshop on neural engineering and rehabilitation is successfully launched.