魏群樹 助理教授

 

個人網頁: https://sites.google.com/view/cswei/
Google scholar: https://scholar.google.com/citations?user=tcob660AAAAJ&hl=en

簡介

魏群樹博士在國立交通大學分別於2009年及2011年完成電機資訊學士與電控碩士學位,曾在2008年至美國伊利諾大學香檳分校作交換學生,並在美國加州大學聖地牙哥分校(UCSD)於2017年取得生物工程博士學位。魏博士曾於2016年在中央研究院及2017年在美國三菱電機實驗室(MERL)擔任實習研究員;2018-2019期間,在UCSD神經計算研究所和美國史丹佛大學醫學院精神與行為科學系分別擔任博士後研究員。2019年8月魏博士加入交大教育研究所擔任助理教授,主要研究方向包括認知工程、計算神經科學、腦機介面、機器學習和生醫資料分析。

魏博士的著作發表於具影響力之國際學術期刊和研討會如Neuroimage、IEEE Transactions on Neural Systems and Rehabilitation Engineering、IEEE EMBC等,並累積超過200次引用,h-index為9。教學方面,在交大及UCSD曾任共計四門課程的助教,並指導了10名大學部、碩士班、博士班學生。作為一名活躍的年輕學者,魏博士積極參與各類學術組織運作,並擔任Frontiers in Computational Neuroscience期刊客座編輯和IEEE Computational Intelligence Magazine等16部國際學術期刊論文審查。

學歷

  • 美國加州大學聖地牙哥分校 生物工程博士 (2012.09 – 2017.12)
  • 國立交通大學 電控工程碩士 (2009.09 – 2011.06)
  • 國立交通大學 電機資訊學士 (2005.09 – 2009.06)
  • 美國伊利諾大學香檳分校 交換學生 (2008.08 – 2008.12)

經歷

  • 國立交通大學教育研究所 助理教授 (2019.08 至今)
  • 美國史丹佛大學醫學院精神醫學與行為科學系 博士後研究員 (2018.11 – 2019.07)
  • 美國加州大學聖地牙哥分校神經計算研究所 博士後研究員 (2018.01 – 2018.11)
  • 三菱電機實驗室 (MERL) 實習研究員 (2017.06 – 2017.09)
  • 中央研究院 研究助理 (2016.11 – 2017.01)

授課

  • 機器學習在教育上的應用
  • 教育研究之科學科技與社會議題

研究興趣

  • 認知工程
  • 計算神經科學
  • 腦機介面 (Brain-computer interface, BCI)
  • 機器學習
  • 生醫資料分析

榮譽

  • 交通大學梁華哲科技青年講座教授 (2019)
  • IEEE生物醫學工程學會神經工程研討會最佳論文決選   (2019)
  • NATPA-SCAL 許子津教授獎學金   (2018)
  • IEEE SMC Student Travel Award   (2015)
  • UC San Diego Graduate Student Travel Award  (2015)
  • 交通大學電機系蕭源隆獎學金 (1/123)   (2011)
  • 交通大學電控工程所書卷獎 (2010)
  • 交通大學交換學生獎學金   (2008)
  • 台灣學科能力競賽地科組優等   (2004)

發表

著作發表
期刊論文
1. M. Nakanishi, Y.-T. Wang, C.-S. Wei, K.-J. Chiang, and T.-P. Jung, “Facilitating Calibration in High-Speed BCI Spellers via Leveraging Cross-Device Shared Latent Responses,” IEEE Transactions on Biomedical Engineering, in press.
2. C.-S. Wei, Y.-P. Lin, Y.-T. Wang, C.-T. Lin, and T.-P. Jung, “A Subject-Transfer Framework for Obviating Inter- and Intra-Subject Variability in EEG-Based Drowsiness Detection,” NeuroImage, 174, 407-419, 2018. (IF:5.426, Rank: 1/14, Top 7.14% of NEUROIMAGING, SCI)
3. C.-S. Wei, Y.-T. Wang, C.-T. Lin, and T.-P. Jung, “Toward Drowsiness Detection using Non-Hair-Bearing EEG-Based Brain-Computer Interfaces,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, 26, 400-406, 2018. (IF=3.972, Rank: 3/65, Top: 4.61% of REHABILITATION, SCI)
4. Y.-T. Wang, M. Nakanishi, Y. Wang, C.-S. Wei, C.-K. Cheng, and T.-P. Jung, “An Online Brain-Computer Interface Based on SSVEPs Measured from Non-Hair-Bearing Areas,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, 25(1), 14-21, 2017. (Cover article) (IF=3.972, Rank: 3/65, Top: 4.61% of REHABILITATION, SCI)
5. Y.-T. Wang, K.-C. Huang, C.-S. Wei, T.-Y. Huang, L.-W. Ko, C.-T. Lin, C.-K. Cheng, and T.-P. Jung, “Developing an EEG-Based On-Line Closed-Loop Lapse Detection and Mitigation System,” Frontiers in Neuroscience, 8, 2014. (IF=3.877, Rank: 77/261, Top: 29.50% of NEUROSCIENCE, SCI)
6. Y.-P. Lin, Y. Wang, C.-S. Wei, and T.-P. Jung, “Assessing the Quality of Steady-State Visual-Evoked Potentials for Moving Humans using a Mobile Electroencephalogram Headset,” Frontiers in Human Neuroscience, 8, 2014. (IF=2.871, Rank: 21/78, Top: 26.92% of PSYCHOLOGY, SCI)
研討會論文
1. C.-S. Wei, T. Koike-Akino, Y. Wang, “Spatial Component-Wise Convolutional Network (SCCNet) for Motor-Imagery EEG Classification,” the 8th International IEEE/EMBS Conference on Neural Engineering (NER ‘19), San Francisco, USA, 2019
2. T. Yu*, C.-S. Wei*, K.-J. Chiang, M. Nakanishi, and T.-P. Jung, “EEG-Based User Authentication Using a Convolutional Neural Network,” the 8th International IEEE/EMBS Conference on Neural Engineering (NER ‘19), San Francisco, USA, 2019
3. K.-J. Chiang, C.-S. Wei, M. Nakanishi, and T.-P. Jung, “Cross-Subject Transfer Learning Improves the Practicality of Real-World Applications of Brain-Computer Interfaces,” the 8th International IEEE/EMBS Conference on Neural Engineering (NER ‘19), San Francisco, USA, 2019
4. C.-S. Wei, M. Nakanishi, K.-J. Chiang, and T.-P. Jung, “Exploring Human Variability in Steady-State Visual Evoked Potentials-Based Brain-Computer Interfaces”, IEEE International Conference on System, Man, and Cybernetics (SMC'18), Miyasaki, Japan, 2018.
5. C.-S. Wei, Y.-P. Lin, Y.-T. Wang, C.-T. Lin, and T.-P. Jung, “Transfer Learning with Large-Scale Data in Brain-Computer Interfaces,” the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’16), Orlando, USA, 2016.
6. C.-S. Wei, Y.-P. Lin, N. Bigdely-Shamlo, Y.-T. Wang, C.-T. Lin, and T.-P. Jung, “Selective Transfer Learning for EEG-Based Drowsiness Detection,” IEEE International Conference on System, Man, and Cybernetics (SMC'15), Hong Kong, China, 2015.
7. J. Song, C.-S. Wei, T.-P. Jung, and Y. Wang, “Monitoring and analysis of multiplicative characteristic variations for adhesive electrode by using self-electrocardiogram signals.” IEEE International Conference on System, Man, and Cybernetics (SMC'15), Hong Kong, China, 2015.
8. C.-S. Wei, Y.-T. Wang, C.-T. Lin, and T.-P. Jung, “Toward Non-Hair-Bearing Brain-Computer Interfaces for Neurocognitive Lapse Detection,” the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’15), Milano, Italy, 2015.
9. C.-S. Wei, Y.-P. Lin, Y. Wang, Y.-T. Wang, and T.-P. Jung, “Detection of Steady-State Visual-Evoked Potential Using Differential Canonical Correlation Analysis,” the 6th International IEEE/EMBS Conference on Neural Engineering (NER ‘13), San Diego, USA, 2013
10. C.-S. Wei, L.-W. Ko, S.-W. Chuang, T.-P. Jung, and C.-T. Lin, “Genetic Feature Selection in EEG-Based Motion Sickness Estimation,” 2011 International Joint Conference on Neural Networks (IJCNN ‘11), San Jose, California, USA, 2011.
11. C.-S. Wei, L.-W. Ko, S.-W. Chuang, T.-P. Jung, and C.-T. Lin, “Motion Sickness Estimation using an EEG-based Evaluation System,” the 5th International IEEE EMBS Conference on Neural Engineering (NER ‘11), Cancun, Mexico, 2011.
12. C.-S. Wei, S.-W. Chuang, W.-R. Wang, L.-W. Ko, T.-P. Jung, and C.-T. Lin, “Implementation of a Motion Sickness Evaluation System Based on EEG Spectrum Analysis,” the IEEE International Symposium on Circuits and Systems (ISCAS ‘11), Rio de Janeiro, Brazil, 2011.
13. C.-S. Wei, C.-H. Tsai, S.-M. Chiou, Y.-T. Hseu, T.-W. Liu, H.-Y. Lai, T.-F. Chien, Y.-H. Kuo, W.-T. Zhao, Y.-S. Tang, S. Y. Su, and Y.-Y. Chen, “Nonlinear Analysis of Movement-related Changes in Human Subthalamic Local Field Potentials,” the 32th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’10), Buenos Aires, Argentina, 2010.
專書章節
1. C.-S. Wei, Y.-P. Lin, Y. Wang, and T.-P. Jung, “Exploring the EEG Correlates of Neurocognitive Lapse with Robust Principal Component Analysis,” Human-Computer Interaction. Towards Intelligent and Implicit Interaction (pp. 448-453). Springer Berlin Heidelberg, 2016.
2. Y.-P. Lin, Y. Wang, C.-S. Wei, and T.-P. Jung, “A mobile brain-computer interface for freely moving humans,” Human-Computer Interaction. Towards Intelligent and Implicit Interaction (pp. 448-453). Springer Berlin Heidelberg, 2013.
3. L.-W. Ko, C.-S. Wei, T.-P. Jung, and C.-T. Lin, “Estimating the Level of Motion Sickness Based on EEG Spectra,” Foundations of Augmented Cognition. Directing the Future of Adaptive Systems (pp. 169-176). Springer Berlin Heidelberg, 2011.

課程教學

  • 美國加州大學聖地牙哥分校
    – 助教, BENG 280A Principles of Biomedical Imaging, 2014秋季
    – 助教, BENG 122A Biosystems and Control, 2013, 2015冬季
    – 助教, BENG 103B Bioengineering Mass Transfer, 2014春季
  • 國立交通大學
    – 助教, 訊號與系統, 2010下學期

學生指導

  • 研究生
    2018                   Poyuan Jeng, Visiting PhD student, UC San Diego, USA
    2017                   Kuan-Jung Chiang, UC San Diego, USA
    2016                   Zhiya Liu, Visiting MS student, UC San Diego, USA
    2009 – 2010      Yu-Shuen Tang, MS student, NCTU, Taiwan
  • 大學部
    2018                   Ting Yu, Mathematics, UC San Diego, USA
    2018                   Xingyi Song, Visiting student, INC, UC San Diego, USA
    2017 – 2018      Kritin Karkare, Bioengineering, UC San Diego, USA
    2017                   Kristin Lee, Bioengineering, UC San Diego, USA
    2017                   Arianna Badilla, Bioengineering, UC San Diego, USA
    2017                   Arielle Yoo, Bioengineering, UC San Diego, USA

學術活動

  • 技術委員
    – IEEE SMC學會腦機介面 (Brain-Machine Interface) 技術委員
  • 議程委員
    – IEEE BIBE研討會 2018
  • 客座編輯
    – Frontiers in Computational Neuroscience
  • 期刊/研討會論文審查
    – IEEE Computational Intelligence Magazine
    – Biomedical Signal Processing and Control
    – Computers in Biology and Medicine
    – Entropy
    – Frontiers in Computational Neuroscience
    – IEEE Journal of Biomedical and Health Informatics
    – IEEE Transactions on Biomedical Engineering
    – IEEE Transactions on Cognitive and Developmental Systems
    – IEEE Transactions on Cybernetics
    – IEEE Transactions on Emerging Topics in Computational Intelligence
    – IEEE Transactions on Fuzzy Systems
    – IEEE Transactions on Human-Machine Systems
    – IEEE Transactions on Neural Systems and Rehabilitation Engineering
    – Journal of Neural Engineering
    – Journal of Healthcare Engineering
    – Sensors
    – IEEE SMC 2018
    – ACM VRST 2018
    – IEEE BIBE 2018
    – FUZZ-IEEE 2019
  • 會議主持
    – UC San Diego Summer Research Conference 2018
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