Plenary lecture

Accurate, Secure and Privacy-Preserving Brain-Computer Interfaces
Prof. Dongrui Wu

Abstract
A brain-computer interface (BCI) enables a user to communicate with a computer directly using brain signals. Electroencephalogram (EEG) is the most frequently used input signal in non-invasive BCIs. This talk will introduce several newly proposed machine learning approaches for accurate, secure and privacy-preserving EEG-based BCIs.

Prof. Dongrui Wu

Dongrui Wu received a B.E in Automatic Control from the University of Science and Technology of China, Hefei, China, in 2003, an M.Eng in Electrical and Computer Engineering from the National University of Singapore in 2006, and a PhD in Electrical Engineering from the University of Southern California, Los Angeles, CA, in 2009. He is now Professor and Deputy Director of the Key Laboratory of the Ministry of Education for Image Processing and Intelligent Control, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China.

Prof. Wu's research interests include affective computing, brain-computer interface, computational intelligence, and machine learning. He has more than 180 publications (8,900+ Google Scholar citations; h=49). He received the IEEE Computational Intelligence Society (CIS) Outstanding PhD Dissertation Award in 2012, the IEEE Transactions on Fuzzy Systems Outstanding Paper Award in 2014, the North American Fuzzy Information Processing Society (NAFIPS) Early Career Award in 2014, the IEEE Systems, Man and Cybernetics (SMC) Society Early Career Award in 2017, the USERN Prize in Formal Sciences in 2020, the IEEE Transactions on Neural Systems and Rehabilitation Engineering Best Paper Award in 2021, and the Chinese Association of Automation Early Career Award in 2021. His team won the First Prize of the China Brain-Computer Interface Competition in three successive years (2019- 2021).

Prof. Wu is Editor-in-Chief of the IEEE SMC eNewsLetter, and is/was an Associate Editor of the IEEE Transactions on Fuzzy Systems (2011-2018; 2020-2021), the IEEE Transactions on Human-Machine Systems (2014-2021), the IEEE Computational Intelligence Magazine (since 2017), and the IEEE Transactions on Neural Systems and Rehabilitation Engineering (since 2019). He is the Associate Vice-President for Human-Machine Systems of the IEEE SMC Society (2021-2022).