• 其他栏目

    邵俊明

    • 教授 博士生导师 硕士生导师
    • 性别:男
    • 毕业院校:慕尼黑大学
    • 学历:博士研究生毕业
    • 学位:理学博士学位
    • 在职信息:在岗
    • 所在单位:计算机科学与工程学院(网络空间安全学院)
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    个人简介

    Give a talk for the 2nd Big Data Seminar at UESTC, Chengdu, Nov. 2013. Slides

    Give a talk for the 1st Big Data Seminar at UESTC, Chengdu, 2013. Slides

    Invited talk at Northwest A&F University, Yangling, 2013.

    Attend the IEEE International Conference on Data Mining (ICDM) in Brussel and give a talk, 2012.

    Attend the conference Organization for Human Brain Mapping (OHBM) and present a poster, Beijing, 2012.

    Talk at IEEE International Conference on Data Mining (ICDM), Vancouver, 2011.

    Presentation at European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), Barcelona, 2010.

    Talk at ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Washington, 2010.

    Give a talk at European Workshop on Mining Massive Data Sets (EMMDS), Denmark, 2009.

    Give a talk at International Conferences on Computational Intelligence for Modeling, Control and Automation (CIMACA), Vienna, 2008.

    Acitivities

    Revewing on data mining related journals, such as IEEE Transaction on Knowledge and Data Engineering (TKDE), Artifical Intelligence , Chaos, World Scientific, Database Technology for Life Sciences and Medicine, International Journal of Computer Mathematics, etc. Also as the PC memeber for major data mining conferences, such as ECML/PKDD.


    教育经历

    2001.9 -- 2005.7
    西北农林科技大学       计算机科学与技术       工学学士学位

    2005.9 -- 2008.7
    西北农林科技大学       计算机应用技术       工学硕士学位

    2008.9 -- 2011.11
    慕尼黑大学       计算机科学       理学博士学位

    2011.11 -- 2012.7
    Technical University of Munich (Germany)

    2008.9 -- 2011.11
    University of Munich (Germany)       博士研究生       博士

    工作经历

    2013.12 -- 至今

    电子科技大学计算机科学与工程学院      教授

    2012.8 -- 2013.12

    德国美因茨大学计算机学院      洪堡学者

    2011.11 -- 2012.7

    德国慕尼黑工业大学      博士后

    社会兼职

  • 2011.8 -- 2012.12

     University of Mainz (Germany), Alexander von Humboldt Fellow

  • 研究方向

  • Multi-source heterogeneous data mining

  • Brain network mining and applications (Mining on fMRI/DTI/EEG brain data)

  • Data stream mining (Concept drift detection/clustering/classification)

  • Clustering (scalable/subspace/hierarchical/parameter-free clustering)

  • Subspace Clustering, Community Detection, Data Stream Clustering and Classification, Brain Network Mining, Machine Learning