Talent Analytics: Prospects and Opportunities
發布時間:2017-06-09 15:09:54

報告題目:Talent Analytics: Prospects and Opportunities

時間:2017年5月23日(周二)上午9:30

地點:計算所四層報告廳

報告人:熊輝教授 美國羅格斯-新澤西州立大學

Abstract: 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 state-of-the-art techniques used to evaluate the management performance, recruit and retain great people, enhance talent development, and demonstrate how these techniques are used at cutting-edge companies. In particular, I will explain how data analytic techniques can be used on people-related issues, such as recruiting, performance evaluation, talent retention, talent development, job matching, team management, and organizational stability 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.

報告人簡介:熊輝教授目前為美國羅格斯-新澤西州立大學羅格斯商學院管理科學與信息系統系副系主任、羅格斯大學信息安全中心主任、正教授 (終身教授)、RBS院長講席教授,并擔任中國科學技術大學大師講席教授。熊輝教授在研究領域成績斐然,獲得的部分獎項包括ACM杰出科學家,IBM 創新獎, 羅格斯-新澤西州立大學最高學術獎—the Rutgers University Board of Trustees Research Fellowship for Scholarly Excellence (2009)。 主要學術成果包括:1本專著;3本編著,其中Encyclopedia of GIS(Springer)被評為最受歡迎前十名的Springer華人作者的計算機著作; 學術論文200余篇,其中有70余篇發表在包括Data Mining and Knowledge Discovery Journal、IEEE Transactions on Knowledge and Data Engineering、VLDB Journal、IEEE Transactions on Fuzzy Systems、Machine Learning、IEEE Transactions on Systems, Man, and Cybernetics - Part B、IEEE Transactions on Mobile Computing在內的頂級權威刊物上,有39篇發表在數據挖掘的頂級學術會議 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)上。