讲座题目：An Efficient Solution to Detect Common Topologies in Money Launderings（反洗钱检测中一种基于拓扑的有效解决方案）

主 讲 人：Dr. Jing He

时    间：OCT.27, 8:00AM-9:00AM

地    点：沙河校区学院4号楼105（腾讯会议ID：953 682 143）

讲座摘要：

In recent years, money laundering has become much easier to be achieved but more challenging to be detected than before, which has enormous adversary effects on finance, military, and other related fields. In the real-time scenario, every money laundering case has a unique structure in terms of transactions. It is not sufficient to detect suspicious behavior by just following the probability theory, where usually the thresholds are given by experts. Since the crime of money laundering is more prevalent and sophisticated nowadays, it will increase the complexity of the detection if the accounts with the personal information are combined with the form of the transaction topology. Hence, the graph topology analysis could be used for anti-money laundering tools. This talk proposes eight common topologies based on coupling and connection from simple to much more complicated structures to solve various kinds of problems concerning money laundering in the real world. Moreover, we also propose an efficient solution based on graph and subgraph isomorphism and distance measurement to detect money laundering behavior. In this way, the detection of money laundering behavior will be more efficient and effective for various situations while referencing the proposed eight topological structures.

主讲人简介：

Dr. Jing He is with the University of Oxford. Before relocating to UK, she was a Professor in the School of Software and Electrical Engineering at Swinburne University of Technology, Australia, from 2018-2021 and at Victoria University from 2008-2018. She was awarded a Ph.D. degree from the Academy of Mathematics and System Science, Chinese Academy of Sciences, in 2006 and used to work in University of Chinese Academy of Sciences, China from 2006-2008. She has been active in areas of Graph theory, Linear Programming, and some industry field such as E-Health, Bioinformatics, Petroleum Exploration and Development, and Water Resource Management. She has published over 200 research papers in refereed international journals and conference proceedings, including Information System, Information Sciences, IEEE Transaction on Knowledge and Data Engineering (TKDE), The Computer Journal, IJCAI, AAAI, ICDE, etc. Dr. Jing He is an IEEE senior member, and her H-index is 24.

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