Prof. Yum Tak-Shing (IEEE Fellow)
The Chinese University of Hong Kong, China
Professor Yum was born in Shanghai. He received primary and secondary school education in Hong Kong. He went to Columbia University and was awarded BS, MS, MPh and PhD degrees in 1974, 1975, 1977 and 1978 respectively. He joined Bell Telephone Laboratories in April 1978 working on switching and signaling systems for 2.5 years. Then, he taught at National Chiao Tung University, Taiwan for 2 years before joining The Chinese University of Hong Kong in 1982. He was appointed chairman of IE Department two times and elected Dean of Engineering for two terms (2004-2010). Since June 1, 2010 he took no-pay leave from CUHK to serve as CTO of ASTRI www.astri.org (Hong Kong Applied Science and Technology Research Institute Company Limited). Professor Yum has published widely in Internet research with contributions to routing, buffer management, deadlock handling, message resequencing and multi-access protocols. He then branched out to work on cellular network, lightwave networks, video distribution networks and 3G networks. His recently research is in the areas of RFID, sensor networks and wireless positioning technologies. He and student Lei Zhu was awarded the Best Paper Award of ACM MSWiM 2009 with paper title, “The Optimization of Framed Aloha based RFID Algorithms.” He and another student Xu Chen were awarded the Honorable Mention Award (the first runner-up of the best paper award) with paper title “Cross Entropy Approach For Patrol Route Planning In Dynamic Environments” in IEEE international conference on Intelligence and Security Informatics (ISI), 2010. Professor Yum is on the editorial board of 6 international journals on Communications and Information Science, including the IEEE Transactions on Communications. He was also formerly an editor on IEEE Transactions on Multimedia. Recently, he joined the editorial boards of Acta Electronica Sinica, Chinese Journal of Electronics and China Communications. Since 2008 he also serves on the Awards Committee of IEEE Communications Society.
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. Qinghua Hu
Tianjin University, China
Qinghua Hu is Dean of School of Artificial Intelligence, the Vice Chairman of Tianjin Branch of China Computer Federation, the Vice Directior of SIG Granular Computing and Knowledge Discovery, Chinese Association of Artificial Intelligence. He is Associate Editor of IEEE Transactions on Fuzzy Systems,ACTA AUTOMATICA SINICA,Engergies . He now is supported by Key Program, National Natural Science Foundation of China. His research is focused on uncertainty modeling in big data, machine learning with multi-modality data, intelligent unmanned systems. He has published more than 200 peer-reviewed papers.
Ms. Daisy Zheng
BDE 2024 conference secretary
E-mail: bde.conference@gmail.com
Tel: +86-021-59561560