Keynote Speakers

Prof. Honghai Liu (IEEE Fellow)
HIT Shenzhen, China

Honghai Liu received his Ph.D from King’s College, University London, UK. He is a Chair Professor at Haribin Institue of Technology, Shenzhen, China. He previously held research appointments at King’s College London, University of Aberdeen, University of Portsmouth and project leader appointments in large-scale industrial control and system integration industry. He is interested in sensing and understanding for medical systems and applications with an emphasis on approaches that could make contribution to the intelligent connection of perception to action using contextual information. He has authored/co-authored more than 200 per-reviewed journals and conference papers. He is Member of Europe Academy of Sciences, IEEE Fellow .

Speech Title: Explore functional corticomuscular coupled information for medical devices and systems

Speech Abstract: Functional corticomuscular coupled information plays a crucial role in human motion science and applications that requires joint multidisciplinary efforts such as brain science and rehabilitation. This talk attempts to present the past, current and future of funcaitonal corticomuscular information interaction and its role in human centred medical systems. One of the problems is that majority of motor performance is assessed by subjective qualitative assessments based on individual movement protocols. It is evident that there is no unified standardized motor function metrics technology, restricting a wide spectrum of applicatons such as stroke rehabilitation. This talk presents the reseach outcomes of the lab led by the speaker with a goal of developing a metric framework to measure brain-body interaction information. The talk is concluded with research directions and open discussions.

Prof. Dongrui Wu (IEEE Fellow)

Huazhong University of Science and Technology, China

Dongrui Wu, Professor and PhD Supervisor at the School of Artificial Intelligence and Automation, Huazhong University of Science and Technology (HUST). He serves as Assistant Dean and Deputy Director of the Key Laboratory of Image Information Processing and Intelligent Control of the Ministry of Education. He is an IEEE Fellow and Editor-in-Chief of IEEE Transactions on Fuzzy Systems (IF=10.7). His main research interests include brain-machine interfaces and machine learning.
He has published over 100 SCI papers, including in Proceedings of the IEEE, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), and National Science Review, with 13 highly cited papers according to ESI and over 13,000 citations on Google Scholar (H-index=60). He holds 5 international patents and 13 Chinese invention patents, with 4 patents transferred. Two first-author algorithms have been included in the MATLAB Fuzzy Logic Toolbox.
He has received awards such as the Youth Science Award from the Ministry of Education, the Youth Scientist Award from the Chinese Association of Automation, and a first-class Natural Science Award (1/5) among others. He also received the IEEE SMC Young Scientist Award, Best Paper Award from IEEE Transactions on Neural Systems and Rehabilitation Engineering, Outstanding Paper Award from IEEE Transactions on Fuzzy Systems, and Outstanding PhD Dissertation Award from IEEE Computational Intelligence Society, totaling 6 outstanding paper awards.
In 2021-2022, he led the team to win the National Championship in the Technical Competition of China Brain-Computer Interface organized jointly by the Ministry of Information Science of the National Natural Science Foundation of China, the Chinese Institute of Electronics, and Tsinghua University.

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