学术报告 | Talent Analytics: Prospects and Opportunities

发布时间:2018-12-10浏览量:213


报告题目:Talent Analytics: Prospects and Opportunities

主讲人:熊辉教授

  Email: hxiong@rutgers.edu              

  WEB: http://datamining.rutgers.edu

  Management Science and Information Systems Department

  Rutgers Business School 

  Rutgers, the State University of New Jersey

报告时间:2018.12.15 09:00

报告地点:华东师范大学中北校区数学馆201室

主办单位:华东师范大学数据科学与工程学院

报告摘要

The big data trend has made its way to talent management. Indeed, the availability of large-scale human resources (HR) data provide unparalleled opportunities for business leaders to understand talent behaviors and generate useful talent knowledge, which in turn deliver intelligence for real-time decision making and effective people management at work. In this talk, I will introduce the powerful set of innovative big data techniques developed for intelligent human resource management, such as recruiting, performance evaluation, talent retention, talent development, job matching, team management, leadership development, and organization culture analysis. Finally, I will present two case studies: 1) recruitment market trend analysis with sequential latent variable models, and 2) talent circle detection in job transition networks. 

报告人简介

熊辉教授2005年博士毕业于美国明尼苏达大学。目前为美国罗格斯-新泽西州立大学正教授 (终身教授)、RBS院长讲席教授。熊辉教授主要研究领域涵盖数据挖掘、大数据、人工智能;获得的部分荣耀包括ACM杰出科学家、中国教育部长江讲座教授、中国国家基金委海外杰青B类(海外及港澳学者合作研究基金)、哈佛商业评论2018年拉姆.查兰管理实践奖-全场大奖、2017 IEEE ICDM Outstanding Service Award 、ICDM-2011最佳研究论文奖。 熊辉教授目前担任Encyclopedia of GIS (Springer)的共同主编,以及IEEE Transactions on Big Data (TBD)、 ACM Transactions on Knowledge Discovery from Data (TKDD) 和 ACM Transactions on Management Information Systems (TMIS)的编委。曾担任ACM KDD-2012企业及政府主题的共同程序主席、IEEE-ICDM 2013的共同程序主席、IEEE-ICDM 2015的共同大会主席,及ACM KDD -2018的研究专题程序委员会主席。


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