Academic Profile : Faculty

ctguan.jpg picture
Prof Guan Cuntai
Professor, School of Computer Science and Engineering
President's Chair in Computer Science and Engineering
Director, Artificial Intelligence Research Institute (AI.R)
NTU Co-Lab Director, S-Lab for Advanced Intelligence
External Links
 
Prof Guan is a President's Chair Professor in Computer Science and Engineering at 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 the Director of the Centre for Brain-Computing Research (CBCR). 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 initiated and served as the Co-Director of the Rehabilitation Research Institute of Singapore (RRIS), 2015-2018. 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 an elected Fellow of the Singapore Academy of Engineering (SAEng), Fellow of the Institute of Electrical and Electronics Engineers (IEEE), and Fellow of the American Institute for Medical and Biological Engineering (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, 370 refereed journal and conference papers, and holds 25 granted patents and patent applications. He licensed 15 patents/technologies to five companies in Singapore and USA. 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, and Guest-Editor for IEEE Computational Intelligence Magazine. 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 was the President of Pattern Recognition and Machine Intelligence Association (PREMIA), Singapore, 2008-2010.
• Brain-Computer Interface
• Machine learning
• Data Analytics
• Artificial Intelligence
• Neural Signal Processing
• Medical Image Processing
• Neural Cognitive Process and Rehabilitation
 
  • A Sociometric AI Screening Tool to Risk-Stratify Infant Neurodevelopmental Trajectories (STARS)
  • A Sociometric AI Screening Tool to Risk-Stratify Infant Neurodevelopmental Trajectories (STARS) WP2 (AI Sociometrics)
  • Al-enhanced molecular imaging and therapy
  • Artificial Intelligence Research Institute (AI.R), NTU
  • Digital Sensing Lab
  • Early detection of mild cognitive impairment (MCI) through a novel digital assessment
  • 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
  • Human-Machine Shared Control for Intelligent Safety and Energy of Smart Vehicles (HM Science)
  • IDMxS - Visiting and Travel
  • Institute for Digital Molecular Analytics and Science (IDMxS)
  • Machine Learning Based Approach for Sensory Stimulated EEG Signal Classification
  • 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
  • Resource-Efficient AI “Deep Transfer Learning, Adaptive Algorithms, Neurorehabilitation”
  • Silent Communication Proof-of-Concept Using Advanced Non-Invasive Brain Computer Interface and Machine Learning Methods
  • Silent Communication Proof-of-Concept Using Advanced Non-Invasive Brain Computer Interface and Machine Learning Methods (SCSE)