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SIGBIO China Workshop: Critical Issues in Bioinformatics and Biomedicine


The exponential growth in the amount of biological, medical, behavioral or health data has necessitated the use of computers for information cataloging and retrieval, while a more global perspective in the quest for new insights into health and disease and the resulting data mining also underscore the need for bioinformatics and biomedicine. As an interdisciplinary field of science, bioinformatics and biomedicine combines mathematics, physics, computer science and engineering, biology, medicine, and behavioral science. The primary goal of this field is to increase the understanding of biological processes by developing and applying computationally intensive technique, and then devise new strategies for diagnosis and therapy. Recently, the field of bioinformatics and biomedicine has experienced rapid growth. However, as a young disciplines, it still faces many critical issues, such as creation and advancement of algorithms, computational and statistical techniques, and theory to solve formal and practical problems arising from the analysis of biological data; biomedical intelligence and biomarker discovery for reliable prediction, diagnosis and therapy of psychological and physiological diseases; development and implementation of tools that enable efficient biological data mining, computational modeling and visualization, etc. This workshop aims to provide a world's premier forum of renowned researchers to share their insightful opinions and discuss current and future key issues in bioinformatics and biomedicine. The workshop will feature in three types of sessions including keynotes, invited talks and panel discussion.


Organizers:


  • Bin Hu (Lanzhou University, China)
  • Jianxin Wang (Central South University, China)
  • Le Zhang (Southwest University, China)
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    Program



    2017-05-13: SIGBIO

    Keynote Speech 1

    14:00-14:40

    Runsheng Chen(The Institute of Biophysics of the Chinese Academy of Sciences)
    Big Data and Precision Medicine

    Keynote Speech 2

    14:40-15:20

    Xiaohua Tony Hu(Drexel University)
    Big Data Analysis and Mining in Microbiome

    Tea Break
    15:20-15:35

    Invited Talks

    15:35-16:05

    Deshuang Huang (Tongji University)
    Integrative Analysis of High-throughput TF Binding Data

    16:05-16:35

    Xiaohua Tony Hu(Drexel University)
    BioNetwork Controllability for Drug Target Identification

    16:35-17:05

    Fangxiang Wu(University of Saskatchewan)
    基因组信息学在精准医疗中的应用

    17:05-17:25

    Xiarong Li (GeneDock, CEO)

    Panel

    17:25-18:00

    Panelists: Runsheng Chen(The Institute of Biophysics of the Chinese Academy of Sciences), Xiaohua Tony Hu(Drexel University), Deshuang Huang(Tongji University), Fangxiang Wu(University of Saskatchewan), Kai Ye(Xi'an Jiaotong University)

    Issues in Bioinformatics and Biomedicine

     

     

    Keynotes



    Keynote 1: Runsheng Chen (The Institute of Biophysics of the Chinese Academy of Sciences)
    CAS Member

    Principal Investigator, Beijing Key Laboratory of Noncoding RNA, IBP (Institute of Biophysics). 

    Professor Runsheng Chen is one of the pioneer scholars developing the researches on theoretical biology and bioinformatics in China. For more than twenty years, Prof. Chen has led his group to perform a series of systemic researches in the field of bioinformatics, including the whole genome assembly and annotation for T. tengcongensis B4 (the first bacterium genome completely sequenced in China), the 1% Human Genome Project, and the Draft Sequence of the Rice Genome. So far, Prof. Chen has published more than 120 papers in SCI, and made more than 20 conference or group reports in the international academic conferences since 1996. For his outstanding early studies on genomic informatics, Prof. Chen was invited to give the "Kotani Memorial Lecture" on the 15th International CODATA Conference, Tsukuba, Japan, 29 Sep. - Oct. 1996, and then selected as the winner of "Kotani Prize".

     

    Keynote 2: Xiaohua Tony Hu (Drexel University)
    Founding Co-Director: NSF Center for Visual and Decision Informatics
    Founding Editor-in-Chief: Internat. Journal of Data Mining and Bioinformatics

    Xiaohua Tony Hu (Ph.D, 1995) is a full professor and the founding director of the data mining and bioinformatics lab at the College of Computing and Informatics (the former College of Information Science and Technology, one of the best information science schools in USA, ranked as #1 in 1999 and #6 in 2010 in information systems by U.S. News & World Report).  He is also serving as the founding Co-Director of the NSF Center (I/U CRC) on Visual and Decision Informatics (NSF CVDI), IEEE Computer Society Bioinformatics and Biomedicine Steering Committee Chair, and IEEE Computer Society Big Data Steering Committee Chair.  Tony is a scientist, teacher and entrepreneur. He joined Drexel University in 2002. He founded the International Journal of Data Mining and Bioinformatics (SCI indexed) in 2006, International Journal of Granular Computing, Rough Sets and Intelligent Systems in 2008. Earlier, he worked as a research scientist in the world-leading R&D centers such as Nortel Research Center, and Verizon Lab (the former GTE labs). In 2001, he founded the DMW Software in Silicon Valley, California. He has a lot of experience and expertise to convert original ideas into research prototypes, and eventually into commercial products, many of his research ideas have been integrated into commercial products and applications in data mining fraud detection, database marketing.
    Tony’s current research interests are in data/text/web mining, big data, bioinformatics, information retrieval and information extraction, social network analysis, healthcare informatics, rough set theory and application. He has published more than 270 peer-reviewed research papers in various journals, conferences and books such as various IEEE/ACM Transactions (IEEE/ACM TCBB, IEEE TFS, IEEE TDKE, IEEE TITB, IEEE SMC, IEEE Computer, IEEE NanoBioScience, IEEE Intelligent Systems), JIS, KAIS, CI, DKE, IJBRA, SIG KDD, IEEE ICDM, IEEE ICDE, SIGIR, ACM CIKM, IEEE BIBE, IEEE CICBC etc, co-edited 20 books/proceedings.  He has received a few prestigious awards including the 2005 National Science Foundation (NSF) Career award, the best paper award at the 2007 International Conference on Artificial Intelligence, the best paper award at the 2004 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, the 2010 IEEE Granular Computing Outstanding Contribution Awards, the 2007 IEEE Bioinformatics and Bioengineering Outstanding Contribution Award, the 2006 IEEE Granular Computing Outstanding Service Award, and the 2001 IEEE Data Mining Outstanding Service Award.  He has also served as a program co-chair/conference co-chair of 14 international conferences/workshops and a program committee member in more than 80 international conferences in the above areas.  He is the founding editor-in-chief of the International Journal of Data Mining and Bioinformatics (SCI indexed), International Journal of Granular Computing, Rough Sets and Intelligent Systems, an associate editor/editorial board member of four international journals (KAIS, IJDWM, IJSOI and JCIB).


    Invited Talks



    Invited Talk 1: Deshuang Huang (Tongji University)
    IAPR Fellow

    黄德双教授是同济大学认知互联网国际合作联合实验室主任,机器学习与系统生物学研究所所长,国家自然科学基金委第十四届专家评审组成员,2000年度中科院“百人计划”入选者。国际模式识别学会Fellow(IAPR Fellow,2014-),2015年度国际神经网络联合会议(IJCNN2015)大会主席(爱尔兰基拉尼),国际智能计算学术会议发起人、大会主席(Founding Chair,2005-),2014年度第11届IEEE生物信息学与计算生物学中的计算智能会议程序委员会主席(美国夏威夷),IEEE高级会员(1998-),国际神经网络学会(INNS)高级会员(2013-)、理事(2012-),IEEE计算智能学会生物信息学与生物工程技术委员会以及神经网络技术委员会委员,上海市计算机学会生物信息学专业委员会主任(2015-),中国电子学会高级会员(1996-)。已发表学术杂志论文190余篇,其中IEEE系列刊物论文32篇,Bioinformatics、Oncotarget、Scientific Reports和Amino Acids等生物信息学领域影响因子大于4.0的论文11篇,SCI收录论文160余篇,SCI他引2200余次,单篇最高SCI他引180余次,入选2014、2015年度爱思唯尔(Elsevier)Scopus数据库中国高被引学者榜单(计算机科学卷)。出版学术专著3部,主编论文集40部,其中专著《神经网络模式识别系统理论》获1997年度第八届全国优秀科技图书二等奖(独立完成)。2010年度获安徽省自然科学一等奖一项(第一完成人)。

     

    Invited Talk 2: Fangxiang Wu (University of Saskatchewan)

    Dr. FangXiang Wu is a full professor of College of Engineering and of Department of Computer Science at the University of Saskatchewan, Canada. He was the graduate chair of Biomedical Engineering program and the undergraduate chair of Mechanical Engineering program at the University of Saskatchewan. Dr Wu received the B. Sc. degree and the M. Sc. degree in Applied Mathematics, both from Dalian University of Technology, Dalian, China, in 1990 and 1993, respectively, the first Ph.D. in Control Theory and Its Applications from Northwestern Polytechnical University, Xi’an, China, in 1998, and the second Ph.D. in Bioinformatics and Systems Biology from University of Saskatchewan, Saskatoon, Canada, in 2004. He worked as a postdoctoral fellow with Laval University Medical Research Center, Quebec City, Quebec, during 2004-2005. His current research interests are in Bioinformatics and computational network biology, including Complex network controllability and applications, Biomolecular network analytics, Machine learning in bioinformatics, Biological data analytics, Brain images and brain networks, and Nonlinear biodynamic analytics. He has published more than 160 refereed journal papers and about 100 refereed conference papers. He has been invited to deliver about 60 academic talks in the international conferences and academic institutes all over the world. He has received a few prestigious awards including the best paper awards at the 2007 ICAI, the best paper award at the 2015 GIW/InCoB, IEEE Transactions Best Paper Award, IEEE BIBM Outstanding Service Award, etc. Dr. Wu has served as the editorial board member/associate editor of five international journals (Scientific Reports, Neurocomputing, etc.), as the guest editor of about 20 international journals, and as the program committee chair or member of more than 30 international conferences.

     

    Invited Talk 3: Kai Ye (Xi'an Jiaotong University)

    叶凯教授于2016年3月入选中组部“青年千人”,现为西安交通大学教授,长期从事生物信息学和基因组学领域研究工作,是首批接触第二代高通量测序技术和数据的研究人员,以主要成员的身份参与了千人基因组计划、美国肿瘤基因组路线图计划等国际重大科学工程,成果突出,已在Nature, Nature Medicine, Genome Research等国际著名学术期刊上发表论文52篇,引用次数约13000次。