Department of Computer Science & Engineering, National Taiwan Ocean University (NTOU), Taiwan

Feb 2018 - Now

Faculty of Engineering and Information Technology, University of Technology Sydney, Australia

Jan 2018 - Now

Work Experience

2016-2017 Lecturer (~Assistant Professor in North American universities), School of Software, Faculty of Engineering and Information Technology, University of Technology Sydney, Australia

2015-2017 Assistant Researcher, Department of Electrical and Computer Engineering, National Chiao Tung University, Taiwan

2014-2015 Postdoctoral Fellow, Brain Research Center, National Chiao Tung University, Taiwan

Research Focus

Brain-Computer Interface; Biomedical Signal Processing 腦機介面、生醫訊號

Virtual Reality/Augmented Reality 虛擬擴增實境應用

Data Mining; Machine Learning; Artificial Intelligence 資料探勘、機器學習、人工智慧

Healthcare; Clinical Correlation; 健康照護、臨床關聯

Personal Statement

Dr. Chun-Hsiang (Michael) Chuang of received his PhD in electrical and control engineering from the National Chiao Tung University (NCTU) in Taiwan in 2014. He had been offered the first full-time position of his science career at the Brain Research Center, NCTU, as a Postdoctoral Researcher and Assistant Researcher in April 2014. He started his employment at the University of Technology Sydney (UTS), Australia, as a Lecturer (Assistant Professor) from 2016 to 2017.

Currently, he is an Assistant Professor of the Department of Computer Science and Engineering, National Taiwan Ocean University and an Honorary Associate of the Faculty of Engineering and Information Technology, UTS, Australia.

He has made substantial contributions to the field of biomedical signal processing, brain-computer interface, and machine learning, with several research articles published in Nature Scientific Reports, NeuroImage, International Journal of Neural Systems, IEEE Transactions, Journal of Neural Engineering, Knowledge-Based Systems, and Frontiers in Neuroscience. He has built a strong network of collaborators based at University of California, San Diego (UCSD), US Army Research Laboratory, Indian Statistical Institute, and Technical University of Berlin.

His research excellence has received recognition:

  1. He has been invited to serve as a referee for high-impact journals;
  2. He had served as PI of research projects (CaN-CTA) funded by US Army Research Laboratory;
  3. He had been awarded with the Study Abroad Program to visit UCSD in 2012-2013, the Outstanding Ph.D. Student Award in 2014, and the Best Live Demo Award at the 3rd IEEE EMB/CAS/SMC Workshop on Brain-Machine-Body Interface for his presentation on BCI technology – Mobile and Wireless EEG System for Predicting Lapse;
  4. He and his colleagues had a technology transfer with AmTRAN Inc;
  5. He has served as PI of an industry linkage project funded by MediaTek Inc.

All these will be his assets in collaborating with all PIs to carry deliver transformative, high impact and award-winning research outputs. During this project, he plans to augment his skills with a new suite of computational algorithm, data mining tool, and brain dynamic analysis to continue to answer important questions in the field of basic and applied neuroscience research.

Ph.D. 2009-2014

Institute of Electrical Control Engineering, National Chiao Tung University, Taiwan

Doctoral dissertation: EEG correlates of kinesthetic feedback in a sustained-attention driving task [link]; Supervisor: Prof Chin-Teng Lin (林進燈)

Visiting Researcher, Swartz Center for Computational Neuroscience, University of California, San Diego, USA (2012-2013); Supervisor: Prof Tzyy-Ping Jung

M.S. 2006-2009

Graduate Institute of Educational Measurement and Statistics, National Taichung University of Education, Taiwan

Graduate thesis: Subspace Selection based Multiple Classifier System for High Dimensional Data Classification [link]; Prof Bor-Chen Kou (郭伯臣)

B.S. 2001-2005

Department of Mathematics and Computer Science, Taipei Municipal Teachers College, Taiwan