Academic Profile

Academic Profile

Asst Prof Ang Kai Keng

Adjunct Assistant Professor

Asst Prof Ang Kai Keng

ANG Kai Keng received Bachelor of Applied Science with 1st class Honors and Masters of Philosophy from Nanyang Technological University (NTU). After graduation, he worked as a lead engineer on software development for combustion engine control product in Delphi Automotive Systems. He then further obtained his Ph.D. in Computer Engineering from NTU. He is currently a Senior Scientist, Head of Neural & Biomedical Technology, Institute for Infocomm Research (I2R), A*STAR. He is also an Adjunct Asst. Prof. in the School of Computer Science and Engineering, NTU.

Research and teaching have always been his passion. As a senior scientist, he has published over 150 peer-reviewed articles including 48 journals in the area of Machine Learning, Pattern Recognition, Computational Intelligence, Brain-Computer Interface and Neural Signal Processing (H-index 35 from Google Scholar, 27 from Scopus and 21 from Web of Science ORCID: 0000-0002-3053-6311). He has also received BCI Annual Research Award and IES Prestigious Engineering Achievement Award. As a unit head, he is responsible for key operations of several research projects lead by other Principal Investigators, identifying research directions, and manages and appraise the performance of 20~30 research staffs. For teaching, he has taught part of a post-graduate course in Computational Intelligence as an Adjunct in NTU and conducted various workshops and tutorials to a large variety of audience in the academic and medical profession. He also co-supervised 3, mentored 5 students who graduated with Ph.D, and currently supervising 4 PhD students. Hence he has extensive experience in directing and managing research.

For professional bodies, he is a Senior Member of IEEE. He also served as co-chair and session chairs in international conferences, and paper reviewer of various journals and conferences.
Research Interests
Brain-Computer Interface, Neural Signal Processing, Computational Intelligence, Pattern Recognition and Machine Learning.
Selected Publications
  • Ahmed. M. Azab, Lyudmila Mihaylova, Kai Keng Ang, and Mahnaz Arvaneh. (2019). Weighted Transfer Learning for Improving Motor Imagery-Based Brain–Computer Interface. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 27(7), 1352-1359.
  • Fatemeh Fahimi, Zhuo Zhang, Wooi Boon Goh, Tih-Shih Lee, Kai Keng Ang, Cuntai Guan. (2019). Inter-subject transfer learning with end-to-end deep convolutional neural network for EEG-based BCI. Journal of Neural Engineering, 2019, 16(9), 026007.
  • Xinyang Li, Cuntai Guan, Haihong Zhang, Kai Keng Ang. (2017). A Unified Fisher's Ratio Learning Method for Spatial Filter Optimization. IEEE Transactions on Neural Networks and Learning Systems, 28(11), 2727-2737.
  • Kai Keng Ang and Cuntai Guan. (2017). EEG-based strategies to detect motor imagery for control and rehabilitation. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 25(4), 392-401.
  • Kai Keng Ang, Cuntai Guan. (2015). Brain-Computer Interface for Neurorehabilitation of Upper Limb After Stroke. Proceedings of the IEEE, 103(6), 944-953.

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