Academic Profile

Prof Guan is currently a President's Chair Professor of Computer Science and Engineering in Nanyang Technological University (NTU), Singapore. He is the Director of the Artificial Intelligence Research Institute (AI.R) of NTU. He is the Co-Director, S-Lab for Advanced Intelligence (S-Lab), NTU. He is on the Steering Committee of Ageing Research Institute for Society and Education (ARISE), NTU. He is a member of the Management Committee of the Singapore Health Technologies Consortium (HealthTEC), Singapore. He serves on the Advisory Board of the Elite Master Program in Neuroengineering, TUM, Germany. He serves as the Scientific Advisor of Neeuro Pte Ltd, Singapore. He is also a scientific advisor to several other companies. He served as the Co-Director of the Rehabilitation Research Institute of Singapore (RRIS), 2015-2018. He was the Co-Director of the NTU-NNI Neurotechnology Fellowship Program, 2017-2019. Prior to joining NTU in 2016, he was the founding Department Head of the Neural & Biomedical Technology Department and Principal Scientist II (RSE6) at the Institute for Infocomm Research (I2R), Agency for Science, Technology, and Research (A*SATR), Singapore. He is a Fellow of IEEE and AIMBE.

His research interests are in the fields of Brain-Computer Interfaces (BCI), Machine Learning, Neural Signal & Image Processing, Data Analytics, and Artificial Intelligence. He published 7 book chapters, 350 refereed journal and conference papers, and holds 25 granted patents and patent applications. He licensed numerous patents to five USA and Singapore-based companies. He delivered more than 70 keynote speeches and invited talks (including the keynote, Brain-Computer Interfaces for Stroke Rehabilitation, at the opening ceremony of the 7th International BCI Meeting, Asilomar, USA, May 2018). He is a recipient of the Annual BCI Research Award, the IES Prestigious Engineering Achievement Award, Achiever of the Year (Research) Award, Finalist of President Technology Award, and winner of BCI Competitions.

He has been an Associate Editor for IEEE Transactions on Biomedical Engineering, IEEE Transactions on Artificial Intelligence, Pattern Recognition, Neurocomputing, Brain-Computer Interfaces, Frontiers in Neuroscience, Frontiers in Human Neuroscience, A*STAR Research Publication (2013-2016), and Guest-Editor for IEEE Computational Intelligence Magazine (2016). He is on the Advisory Board of IEEE Open Access Journal of Engineering in Medicine and Biology (OJEMB). He was on the IEEE Fellow Evaluation Committee for EMBS Society, 2018 & 2020. He was an APSIPA Distinguished Lecturer, 2017-2018. He served as the General Co-Chair for IEEE ICAA’2018, Conference Chair for the Internet of Things (IoT) Asia 2015, and General Chair for the IEEE HealthCom 2008. He served as the Chairman of IEEE Engineering in Medicine and Biology Chapter, Singapore Section, 2010-2012. He was the President of Pattern Recognition and Machine Intelligence Association (PREMIA), Singapore, 2008-2010.
ctguan.jpg picture
Prof Guan Cuntai
Professor, School of Computer Science and Engineering
Director, Artificial Intelligence Research Institute (AI.R)
NTU Co-Lab Director, S-Lab for Advanced Intelligence

• Brain-Computer Interface
• Machine learning
• Data Analytics
• Artificial Intelligence
• Neural Signal Processing
• Neural Image Processing
• Neural Cognitive Process and Rehabilitation
 
  • Artificial Intelligence Research Institute (AI.R), NTU

  • Digital Sensing Lab

  • FHT Module 3: Connected Rehabilitation and Assistive Technology

  • FHT Module 3: Connected Rehabilitation and Assistive Technology (Project 2)

  • Health and Human Potential RIE2025 Strategic Response

  • IDMxS - Visiting and Travel

  • Institute for Digital Molecular Analytics and Science (IDMxS)

  • Next-Generation Brain-Computer-Brain Platform – A Holistic Solution for the Restoration & Enhancement of Brain Functions (NOURISH)

  • President’s Chair in Computer Science and Engineering

  • Program on Advanced Brain-Computer Interface Technologies for Mental Healthcare

  • Research and development in the frontiers of Brain-Computer-Brain Interactions

  • Resource-Efficient AI “Deep Transfer Learning, Adaptive Algorithms, Neurorehabilitation”
 
  • Yangsong Zhang, Huan Cai, Li Nie, Peng Xu, Sirui Zhao, Cuntai Guan, “An end-to-end 3D convolutional neural network for decoding attentive mental state”, Neural Networks, Aug 2021, DOI: 10.1016/j.neunet.2021.08.019.

  • Ke Liu, Zhu Liang Yu, Wei Wu, Xun Chen, Zhenghui Gu, Cuntai Guan “fMRI-SI-STBF: An fMRI-Informed Bayesian Electromagnetic Spatio-Temporal Extended Source Imaging”, Neurocomputing, Oct 2021, vol 462, pp 14-30.

  • Jiarong Wang, Luzheng Bi, Weijie Fei, and Cuntai Guan, “Decoding Single-Hand and Both-Hand Movement Directions from Noninvasive Neural Signals”, IEEE Transactions on Biomedical Engineering, June 2021, 68(6), pp 1932-1940.

  • Emadeldeen Eldele, Zhenghua Chen, Chengyu Liu, Min Wu, Chee-Keong Kwoh, Xiaoli Li and Cuntai Guan, “An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Apr 2021, 29, pp 809-818.

  • Bohan Yu, Yuxiang Wang, Kai Niu, Youwei Zeng, Tao Gu, Leye Wang, Cuntai Guan, and Daqing Zhang, “WiFi-Sleep: Sleep Stage Monitoring Using Commodity Wi-Fi Devices”, IEEE Internet of Things Journal, Mar 2021, DOI: 10.1109/JIOT.2021.3068798.

  • Chao Jiang, Yingjie Li, Yingying Tang, Cuntai Guan “Enhancing EEG-Based Classification of Depression Patients using Spatial Information”, IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE), Feb 2021, DOI: 10.1109/TNSRE.2021.3059429, pp 1-10.

  • Ziyuan Zhao, Zeng Zeng, Kaixin Xu, Cen Chen, Cuntai Guan, “DSAL: Deeply Supervised Active Learning from Strong and Weak Labelers for Biomedical Image Segmentation,” IEEE Journal of Biomedical and Health Informatics (J-BHI), Jan 2021, pp 1-8.

  • Ji-Seon Bang, Min-Ho Lee, Siamac Fazli, Cuntai Guan, Seong-Whan Lee, “Spatial-Spectral Feature Representation for Motor Imagery Classification using Convolutional Neural Networks”, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Jan 2021, pp 1-12.

  • Kaishuo Zhang, Neethu Robinson, Seong-whan Lee, Cuntai Guan, “Adaptive Transfer Learning for EEG Motor Imagery Classification with Deep Convolutional Neural Network”, Neural Networks, Jan 2021, 136, pp 1-10. 

  • Bijun Tang, Yuhao Lu, Jiadong Zhou, Tushar Chouhan, Han Wang, Prafful Golani, Manzhang Xu, Quan Xu, Cuntai Guan, and Zheng Liu, “Machine learning-guided synthesis of advanced inorganic materials”, Materials Today, Vol 41, Dec 2020, DOI: 10.1016/j.mattod.2020.06.010.

  • Nicholas Cheng, Kok Soon Phua, Hwa Sen Lai, Pui Kit Tam, Ka Yin Tang, Kai Kei Cheng, Raye Chen-Hua Yeow, Kai Keng Ang, Cuntai Guan, and Jeong Hoon Lim, “Brain-computer Interface-based Soft Robotic Glove Rehabilitation for Stroke”, IEEE Transactions on Biomedical Engineering (TBME), Dec 2020, 67 (12), pp 3339-3351.

  • Chuangao Tang, Wenming Zheng, Yuan Zong, Nana Qiu, Cheng Lu, Xilei Zhang, Xiaoyan Ke, Cuntai Guan, “Automatic Identification of High-Risk Autism Spectrum Disorder: A Feasibility Study Using Video and Audio Data under the Still-Face Paradigm", IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE), Nov 2020, 28 (11), pp 2401-2410.

  • Oyeon Kwon, Min-Ho Lee, Cuntai Guan, and Seong-Whan Lee, “Subject-Independent Brain-Computer Interfaces Based on Deep Convolutional Neural Networks,” IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Oct. 2020, 31 (10), pp 3839 - 3852.

  • Erico Tjoa, Cuntai Guan, “A Survey on Explainable Artificial Intelligence (XAI): towards Medical XAI”, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Sept 2020, DOI: 10.1109/TNNLS.2020.3027314.

  • Fatemeh Fahimi, Strahinja Dosen, Kai Keng Ang, Natalie Mrachacz-Kersting, and Cuntai Guan, “Generative Adversarial Networks-based Data Augmentation for Brain-Computer Interface”, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Aug 2020, DOI: 10.1109/TNNLS.2020.3016666.

  • Ravikiran Mane, Tushar Chouhan, and Cuntai Guan, "BCI for Stroke Rehabilitation: Motor and Beyond", Journal of Neural Engineering (JNE), Aug 2020, 17, e041001, DOI: 10.1088/1741-2552/aba162.