This event will be hosted on Zoom. You can access the webinar on the day by visiting https://zoom.us/join and using the following details:
- Zoom ID: 970 0869 8973
- Zoom passcode: 434571
Motor imagery (MI) is one of the brain-computer interface (BCI) strategies for stroke rehabilitation. Accurate decoding and meaningful interpretation of the decoding model are important. In this talk, we will discuss deep learning methods in decoding motor imagery from EEG, in subject-specific, subject-independent, and subject adaptive scenarios. We will present results on data collected from both healthy subjects and stroke patients. We will then analyze the motor imagery data using interpretation approaches and try to shed some light on the correlation between the interpretation patterns and clinical outcomes in stroke rehabilitation.
Professor 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.
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 6 book chapters, 350 refereed journal and conference papers, and holds 25 granted patents and patent applications. He licensed numerous patents to USA and Singapore-based companies. He delivered more than 60 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.