Projects per year
Personal profile
Research Interests
- Cognitive engineering
- Computational neuroscience
- Brain-computer interface (BCI)
- Machine learning
- Biomedical data analysis
Experience
- Postdoctoral Fellow, Psychiatry and Behavioral Sciences, Stanford University, CA, USA, 11/2018 – 07/2019
- Postdoctoral Researcher, Neural Computation, University of California San Diego, USA, 01/2018 – 11/2018
- Research Intern, Mitsubishi Electric Research Laboratories (MERL), MA, USA, 06/2017 – 09/2017
Education/Academic qualification
PhD, Department of Bioengineering, University of California, San Diego
Sep 2012 → Dec 2017
Award Date: 16 Dec 2017
Master, Institute of Electrical and Control Engineering, National Chiao Tung Univerisity
Sep 2009 → Jun 2011
Bachelor, Electrical Engineering and Computer Science Honor Program, National Chiao Tung Univerisity
Sep 2005 → Jun 2009
Fingerprint
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- 1 Similar Profiles
Projects
- 3 Finished
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YOTO (You Only Think Once): Deep Learning-Based Intelligent Brain Monitoring for Personalized Cognitive Tracking
Wei, C.-S. (PI)
1/04/22 → 31/03/23
Project: Government Ministry › Other Government Ministry Institute
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YOTO (You Only Think Once): Deep Learning-Based Intelligent Brain Monitoring for Personalized Cognitive Tracking
Wei, C.-S. (PI)
1/04/21 → 31/03/22
Project: Government Ministry › Other Government Ministry Institute
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YOTO (You Only Think Once): Deep Learning-Based Intelligent Brain Monitoring for Personalized Cognitive Tracking
Wei, C.-S. (PI)
1/04/20 → 31/03/21
Project: Government Ministry › Other Government Ministry Institute
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AI in EEG-Based BCI for the Diagnosis of Mild Cognitive Impairment: A Mini Review
Zaitsev, V. & Wei, C. S., 2025, 13th International Winter Conference on Brain-Computer Interface, BCI 2025. Institute of Electrical and Electronics Engineers Inc., (International Winter Conference on Brain-Computer Interface, BCI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Enhancing EEG-Based Schizophrenia Diagnosis with Explainable Multi-Branch Deep Learning
Chang, Y. H., Huang, Y. N., Chou, J. L., Lin, H. C. & Wei, C. S., 2025, (Accepted/In press) In: IEEE Journal of Biomedical and Health Informatics.Research output: Contribution to journal › Article › peer-review
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Forecast Padding Enhances Accuracy and Robustness of EEG-Phase-Synchronized TMS
Chang, Y. C., Chao, P. H., Kuan, Y. M., Huang, C. J., Chen, L.-F., Mao, W. C., Su, T. P., Chen, S.-H. & Wei, C. S., 2025, In: IEEE Transactions on Neural Systems and Rehabilitation Engineering. 33, p. 2724-2734 11 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Interbrain synchrony attenuation during a peer cooperative task in young children with autistic traits –an EEG hyperscanning study
Chen, I. C., Hsu, H. C., Chen, C. L., Chang, M. H., Wei, C. S. & Chuang, C. H., 15 May 2025, In: NeuroImage. 312, 121217.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
A Unified Brain Signal Decoder Based on Multi-Branch Architecture
Chou, J. L., Huang, Y. N. & Wei, C. S., 2024, 2024 International Joint Conference on Neural Networks, IJCNN 2024 - Proceedings. Institute of Electrical and Electronics Engineers Inc., (Proceedings of the International Joint Conference on Neural Networks).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2 Scopus citations