报告题目: Outlier Detection from Big High-dimensional and Distributed Data Sources
报 告 人: 张吉 澳大利亚南昆士兰大学教授、博士生导师。
时 间： 2018年12月11日(星期二)上午10：00
地 点： 计算机学院学术报告厅B401
报告人简介:
Prof. Ji Zhang is currently an Associate Professor/Reader (Equivalent to Professor in the US universities) in Computer Science and a PhD supervisor at the University of Southern Queensland (USQ), Australia. Prof. Zhang is an IEEE Senior Member, Australian Endeavour Fellow, Queensland Fellow and Izaak Walton Killam Fellow (Canada) and the recipient of the USQ Research Excellence Award in 2011. He served the Principal Advisor for Research in Division of ICT Services, USQ from 2010-2013. He was a Post-doc Research Fellow in CSIRO ICT Center, Australia from 2008 to 2009. He received his degree of Ph.D. from the Faculty of Computer Science at Dalhousie University, Canada in 2008. Prof. Zhang's research interests include knowledge discovery and data mining (KDD), Big Data analytics, information privacy and security, and health informatics. He has published over 120 papers, some appearing in top-tier international journals including ACM Transactions on Knowledge Discovery from Data (TKDD), IEEE Transactions on Dependable and Secure Computing (TDSC), Information Sciences, Knowledge-based Systems, WWW Journal, Bioinformatics, Knowledge and Information Systems (KAIS), Soft Computing and Journal of Intelligent Information Systems (JIIS) and international conferences such as VLDB, ACM CIKM, ACM SIGKDD, IEEE ICDE, IEEE ICDM, WWW, DASFAA, PAKDD, DEXA and DaWak. He has also authored 1 monograph and 6 book chapters.
