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Keynote Speakers


Keynote Speaker

Prof. Edwin Wang

University of Calgary, Canada

Dr. Edwin Wang is Professor and AISH Chair in Cancer Genomics at the University of Calgary. He was a Senior Investigator at the National Research Council Canada and Professor at McGill University. He has a undergraduate training in Computer Science and a PhD training in Experimental Molecular Genetics (UBC, 2012). He is the member of the AACR-Cancer Systems Biology Think Tank, which consists of ~30 world leaders in the field for discussing key problems and cutting-edge directions. He is an Editor of PLoS Computational Biology, the top journal in the field of bioinformatics. He has edited the book of Cancer Systems Biology (2010), the first book of the field. His pioneering work of microRNA of singling networks opens the new research area: network biology of non-coding RNAs. His pioneering work of cancer network motifs has been featured in the college textbook, GENETICS (2014/2017) written by a Nobel Laureate, Dr. Hartwell and the father of systems biology, Dr. Hood.

Prof. Kiyoshi Hoshino

University of Tsukuba, Japan

Prof. Kiyoshi Hoshino received two doctor's degrees; one in Medical Science in 1993, and the other in Engineering in 1996, from the University of Tokyo respectively. From 1993 to 1995, he was an assistant professor at Tokyo Medical and Dental University School of Medicine. From 1995 to 2002, he was an associate professor at University of the Ryukyus. From 2002, he was an associate professor at the Biological Cybernetics Lab of University of Tsukuba. He is now a professor. From 1998 to 2001, he was jointly appointed as a senior researcher of the PRESTO "Information and Human Activity" project of the Japan Science and Technology Agency (JST). From 2002 to 2005, he was a project leader of a SORST project of JST. His research interests include biomedical measurement and modelling, medical engineering, motion capture, computer vision, and humanoid robot design.

Speech Title: "Technology for Acquiring Biosignals Generated during Eye Movements"

The objective of our study is to provide a method for measuring user’s eye movements day and night with a high degree of accuracy without imposing a psychological burden on a device-wearer, regardless of brightness of image contents. Specifically, our method, in particular, makes possible; (1) tracing the points where the user is looking at (i.e. line of sight); (2) detection of any of bad physical conditions, such as dizziness and sick-feeling, or the signs of them (i.e. nystagmus or cycloduction); and (3) estimation of the degree of distraction of attention (i.e. the degree of heterophoria between the eyes).
To this end, a faint blue light with less brightness is illuminated in the vicinity of the eyeballs as an auxiliary light to improve the grayscale contrast of the blood vessels in the tunica conjunctiva or sclera of an eyeball. Moreover, the above method is used together with a combination of techniques for equalizing the individual image partitions of the gray-level and for determining a banalization threshold based on the difference in grayscale value between the target and its adjacent pixels, so as to remove eyelashes and faint-colored thin blood vessels, achieving an improvement in grayscale contrast of the characteristic blood vessels. Furthermore, using a method for tracing the images of the characteristic template blood vessels is used to measure the user’s eye movements.

Prof. Le Zhang

Sichuan University, China

Le Zhang is a Professor of Computer Science Department, Sichuan University. He received Ph.D degree from Louisiana Tech University in 2005 and Postdoctoral degree in Harvard Medical School in 2008. He was a Professor in Department of Computer Science, Southwest University, China from 2014-2017 and Research Associate Professor in Department of Biostatistics and Computational Biology, University of Rochester, USA from 2012-2014 as well as the assistant professor of Mathematical Sciences of the Michigan Tech University from 2008-2012. His research interests include employing parallel algorithm to speed up the bioinformatics application; integrating constrained numerical optimization method into classical survival analysis algorithm to process p>>n type of gene expression data, and using semantic web technology to develop sematic database for the big biological data. Now, he also works at Chinese Association for Artificial Intelligence as a member of Bioinformatics Group, Professional Committee of Big Data Group, Genetics Society of China, Vice Chairman of CCF YOCSEF Chongqing Branch, representative of CCF Congress and Associate President of Chongqing Society of Bioinformatics. He has been awarded the prize of the Recruitment Program of Global Experts(Young Professionals), Hundred Talent Program in Chongqing, Outstanding Youth in Chongqing, and Hundred Talent Program(short term) in Shanxi.


Plenary Speaker

Assoc. Prof. Hu Han

Chinese Academy of Sciences, China

Hu Han is an Associate Professor of the Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS). He received the B.S. degree from Shandong University, and the Ph.D. degree from ICT, CAS, in 2005 and 2011, respectively, both in computer science. Before joining faculty of ICT, CAS in 2015, he was a Research Associate in the Department of Computer Science and Engineering at Michigan State University, and a visiting researcher at Google in Mountain View from 2011 to 2015. His research interests include computer vision, pattern recognition, and image processing, with applications to biometrics. He has authored or co-authored more than 30 scientific papers, including IEEE Trans. PAMI, IEEE Trans. IFS, Pattern Recognition, ECCV, etc., with over than 930 citations according to Google Scholar (Aug. 2017). He has served as the program committee member of a number of international conferences on computer vision and biometrics, such as ICB, IJCB, ACCV, and CCBR. He was a recipient of the ICCV2015 apparent age estimation competition runner-up award, the CCBR2016 Best Student Paper award, and ACCV2012 Best Reviewer Award. He is a member of the IEEE.

Speech Title: "Attribute Estimation from Face: Approaches and Applications"