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
-
Feb 27, 2026
Our work has been selected as one of the 15
Brain-Machine Interface (BMI) achievements at
the 2026 ZGC Forum.
-
Feb 27, 2026
Our work on behaviorally reinforced spike generation
has been selected as the cover story of
Nature Computational Science.
Congratulations to Dr. Shenghui Wu!
-
Jan 29, 2026
Congratulations to Dr. Jieyuan Tan!
-
Jan 2, 2026
Our research on a behaviorally reinforced generative spike model
has been published in
Nature Computational Science.
Congratulations to Dr. Shenghui Wu!
-
Dec 12, 2025
Our work was selected as a Highlight Poster at the
2025 International Conference on Brain-Machine Intelligence
(The 2nd Chinese Conference on Brain-Machine Intelligence)
-
Oct 22, 2025
Dr. Shenghui Wu is nominated to participate in the
14th edition of the Global Young Scientists Summit (GYSS).
-
Oct 22, 2025
Congratulations to Dr. Zhiwei Song!
-
Aug 20, 2025
Congratulations to Jieyuan Tan and Zhiwei Song for winning
the HKUST Redbird Scholarship!
-
Aug 19, 2025
Congratulations to Dr. Mingdong Li!
-
Apr 29, 2025
Congratulations to Zixu Wang and Song Kang for winning
the Hong Kong PhD Fellowship Scheme (HKPFS) and
HKUST Redbird Scholarship 2025/26!
-
Jul 29, 2024
Prof. Yiwen WANG was chosen as Young Scientist Speaker
for World Laureates Forum.
-
Aug 29, 2024
Zhiwei Song wins the ECE Best Teaching Assistant Award
for the academic year 2023/24.
-
Aug 16, 2024
Congratulations to Dr. Shenghui Wu!
-
Jul 29, 2024
Prof. Yiwen WANG was invited to be a keynote speaker
at IEEE EMBC 2024.
-
Jul 8, 2024
Congratulations to Jieyuan Tan, Zhiwei Song, and Shenghui Wu
for winning the HKUST Redbird Scholarship!
-
Apr 12, 2024
Congratulations to Ziyi Wang and Taiyan Zhou for winning
the Hong Kong PhD Fellowship Scheme (HKPFS)
-
Dec 21, 2023
Mingyi Wang wins the best student paper award at the
IEEE Engineering in Medicine & Biology Society (EMBS).
-
Aug 30, 2023
Shenghui Wu wins the ECE Best Teaching Assistant Award
for the academic year 2022/23.
-
Aug 25, 2023
Zhiwei Song wins the IEEE SMC conference student grant.
-
Aug 6, 2023
The 4th International Workshop on Neural Engineering
and Rehabilitation is successfully launched.
-
Aug 1, 2023
Zixu Wang wins the HKUST Redbird Scholarship.
-
Jun 17, 2023
Prof. Yiwen Wang has been honored with
2023 EMBS Distinguished Service Award.
-
Jun 16, 2023
Shenghui Wu is awarded the Hong Kong University
of Science and Technology Redbird Scholarship.
-
Jun 14, 2023
Mingyi Wang wins the best poster award at the
CBE 30th Anniversary Conference 2023.
-
May 24, 2023
Congratulations to Dr. Yifan Huang!
-
Dec 5, 2022
Congratulations to Shenghui Wu for passing his
PhD Qualifying Exam (PQE)!
-
Nov 30, 2022
Congratulations to Mingdong Li for passing his
PhD Qualifying Exam (PQE)!
-
Jul, 2022
Congratulations to Zhiwei Song and Jieyuan Tan
for passing their MPhil defenses!
-
Jun, 2022
Congratulations to Prof. Wang for getting tenured!
-
Jun, 2022
Congratulations to Dr. Shuhang Chen and
Dr. Xiang Shen!
-
May, 2022
The 3rd International Workshop on Neural Engineering
and Rehabilitation is successfully launched.
-
Apr 6, 2022
Jieyuan Tan and Zhiwei Song are awarded the
Hong Kong PhD Fellowship Scheme (HKPFS).
-
Apr 1, 2022
Prof. Yiwen Wang has been appointed as an
EMBS Distinguished Lecturer for 2022.
-
Mar 2, 2022
Prof. Yiwen Wang is promoted to the Chair of the
IEEE EMBS Neuroengineering technical committee.
-
Aug 28, 2021
Zhiwei Song wins the third prize at the IEEE EMB
Hong Kong-Macau Joint Chapter Student Project Competition 2021.
-
Aug, 2021
Congratulations to Dr. Xiang Zhang!
-
Aug 11, 2021
Shenghui Wu is awarded the Hong Kong University
of Science and Technology Redbird Scholarship.
-
Jul 7, 2021
Waterloo international workshop on neural engineering
and rehabilitation is successfully launched.
-
Oct 11, 2020
Yifan Huang wins the best student paper award at the
IEEE International Conference on Systems, Man, and Cybernetics 2020.
-
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).
-
Aug 17, 2020
IEEE Brain Virtual Summer School 2020
is successfully launched.
-
May 8, 2020
Prof. Yiwen Wang has been elected as the member
of the board of the Brain Computer Interfaces
(BCI) Society.
-
Jun 3, 2019
IAS workshop on neural engineering and rehabilitation
is successfully launched.