Academic Profile : Faculty

ctguan.jpg picture
Prof Guan Cuntai
Deputy Dean, College of Computing & Data Science
President's Chair in Computer Science and Engineering
Professor, College of Computing & Data Science
Professor, Lee Kong Chian School of Medicine (Courtesy Appointment)
Co-Director, Rehabilitation Research Institute of Singapore
Director for Artificial Intelligence Research Institute (AI.R), Artificial Intelligence Research Institute (AI.R)
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Prof Guan is a President's Chair in Computer Science and Engineering and Deputy Dean of the College of Computing & Data Science at Nanyang Technological University (NTU), Singapore. He is the Director of the Centre for Brain-Computing Research (CBCR). He has been the Director of the Artificial Intelligence Research Institute of NTU and the Co-Director for S-Lab for Advanced Intelligence from 2020-2024. He initiated and served as the Co-Director of the Rehabilitation Research Institute of Singapore (RRIS), 2015-2018 & 2024-2026. Prior to joining NTU in 2016, he was with the Institute for Infocomm Research, A*SATR, where he established the Brain-Computer Interface research and founded the Department of Neural & Biomedical Technology.

His research interests are in the fields of Brain-Computer Interfaces (BCI), Machine Learning, Neural Signal & Image Processing, and Artificial Intelligence. He published 420 refereed journal and conference papers and holds 26 granted patents and patent applications. He licensed 15 patents/technologies to five companies in Singapore and USA. He delivered more than 80 keynote speeches and invited talks (including the keynote at the opening ceremony of the 7th International BCI Meeting, Asilomar, USA, May 2018, and the plenary talk at IEEE International Conference on Rehabilitation Robotics (ICORR), July 2015). He is a recipient of numerous awards owing to his contributions to Brain-Computer Interface research, which include the international Annual BCI Research Award (First Prize), the King Salman Award for Disability Research, the Nanyang Research Award, the IES Prestigious Engineering Achievement Award, the Achiever of the Year (Research) Award, the Finalist of the President Technology Award.

He has been an Associate Editor for IEEE Transactions on Biomedical Engineering, IEEE Reviews in Biomedical Engineering, IEEE Transactions on Artificial Intelligence, Pattern Recognition, Neurocomputing, Brain-Computer Interfaces, Frontiers in Neuroscience, Frontiers in Human Neuroscience, etc. 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. 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 the Pattern Recognition and Machine Intelligence Association (PREMIA), Singapore, 2008-2010.

He is an elected Fellow of the Singapore Academy of Engineering (SAEng), Fellow of NAI (National Academy of Inventors, USA), Fellow of IEEE (the Institute of Electrical and Electronics Engineers), and Fellow of AIMBE (the American Institute for Medical and Biological Engineering).
• Brain-Computer Interface
• Machine learning
• Artificial Intelligence
• Medical Image Analysis
• Neural Cognitive Process and Rehabilitation
 
  • Artificial Intelligence Research Institute (AI.R), NTU
  • Early detection of mild cognitive impairment (MCI) through a novel digital assessment
  • Human-Machine Shared Control for Intelligent Safety and Energy of Smart Vehicles (HM Science)
  • A Sociometric AI Screening Tool to Risk-Stratify Infant Neurodevelopmental Trajectories (STARS) WP2 (AI Sociometrics)
  • Silent Communication Proof-of-Concept Using Advanced Non-Invasive Brain Computer Interface and Machine Learning Methods (SCSE)
  • Silent Communication Proof-of-Concept Using Advanced Non-Invasive Brain Computer Interface and Machine Learning Methods
  • A Sociometric AI Screening Tool to Risk-Stratify Infant Neurodevelopmental Trajectories (STARS)
  • Program on Advanced Brain-Computer Interface Technologies for Mental Healthcare
  • Towards human-like autonomy: driver-style-oriented motion control using deep neural networks for personalized autonomous driving
  • FHT Module 3: Connected Rehabilitation and Assistive Technology (Project 2)
  • MATAI: AN AI-POWERED GENERALIST MATERIAL DISCOVERY PLATFORM
  • Monetary Academic Resources (MAR)
  • WP4: Scent Digitalization and Computation (SDC)- PI: Lin Weisi
  • WP4: Scent Digitalization and Computation (SDC)- PI: Guan Cuntai
  • Scent Digitalization and Computation (SDC)
  • AI-driven Brain-Computing Research
  • SoundKeepers (NTU SOC)
  • MATAI: AN AI-POWERED GENERALIST MATERIAL DISCOVERY PLATFORM - Additional funding
  • FHT Module 3: Connected Rehabilitation and Assistive Technology
  • President’s Chair in Computer Science and Engineering
  • Sociometric Play-based Remediation of Individual Neurodevelopmental Trajectories (SPRINT) - Co-I: Prof Guan Cuntai
  • Sociometric Play-based Remediation of Individual Neurodevelopmental Trajectories (SPRINT)
  • Sociometric Play-based Remediation of Individual Neurodevelopmental Trajectories (SPRINT) - LEAD PI: Prof Victoria Leong
  • Next-Generation Brain-Computer-Brain Platform – A Holistic Solution for the Restoration & Enhancement of Brain Functions (NOURISH)
  • Insights into the Pathobiology of Cerebral White Matter Disease in Mild Cognitive Impairment and Prevention Strategies with Pharmacological and Digital-Artificial Intelligence
  • Resource-Efficient AI “Deep Transfer Learning, Adaptive Algorithms, Neurorehabilitation”
  • Enhancement to Silent Speech Decoding Algorithm by Incorporating Direct Neural-to-Phonetic Mapping and Acoustic Feature-Based Mapping