【前沿讲座】Optimizing HIV Interventions for Multiplex Social Networks via Partition-Based Random Search

2018年5月22日 16:00 ~ 2018年5月22日 18:00

北京SD302

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报名截止时间:2018-05-20 17:23
取消预约时间:2018-05-20 17:23
讲座人:张清鹏 博士
承办方:经管学院
适用人群:学硕研究生 专业硕士 【MBA,EMBA,审计硕士(MAud),应用统计硕士(MAS),工程管理硕士(MEM),创业与创新国际硕士(EIV),会计硕士(MPAcc),资产评估硕士(MV),金融硕士(MF),工程硕士(ME)】博士研究生 
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讲座人简介:

Recent field studies revealed the merging trend of multiple key populations, making HIV intervention difficult because of the existence of multiple transmission modes in such complex multiplex social networks. In this research, we aim to address this challenge by developing a multiplex social network framework to capture the multi-mode transmission across two key populations. Based on the multiplex social network framework, we propose a new random search method, named Partition-based Random Search with Network and Memory Prioritization (PRS-NMP), to identify the optimal subset of high-value individuals in the social network for interventions. The performance of PRS-NMP based interventions is consistently better than benchmark nested partitions method and network-based metrics.

讲座内容:

Dr. Qingpeng Zhang is an assistant professor of CityU of Hong Kong. He received the B.S. degree in Automation from Huazhong University of Science and Technology in 2009, and the Ph.D. degree in Systems and Industrial Engineering with a minor in Management Information Systems from The University of Arizona in 2012. Prior to joining CityU, he worked as a Postdoctoral Research Associate with the Department of Computer Science at Rensselaer Polytechnic Institute. He also worked as an intern scientist at the Pacific Northwest National Laboratory and the Chinese Academy of Sciences. He is an Associate Editor for IEEE TITS and IEEE TCSS. His research interests include social informatics and social computing, complex networks, healthcare data analytics, and semantic web.

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