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美国福德汉姆大学Md Zakirul Alam Bhuiyan博士应邀来我校讲学
撰稿人:彭滔     发布时间:2018年5月15日 09:30
题目: Application-specific Data Mining in Internet of Things (IoT)
时间: 2018年05月14日(星期一)上午10:30-12:00
地点: 广州大学行政西楼前座428(学院会议室)
报告人: Md Zakirul Alam Bhuiyan博士,美国福德汉姆大学(Fordham University, USA)

5月14日上午10:30-12:00,美国福德汉姆大学(Fordham University, USA)Md Zakirul Alam Bhuiyan博士应邀在广州大学行政西楼前座四楼428会议室给计算机学院师生作了一场题为“Application-specific Data Mining in Internet of Things (IoT)”的报告。当今物联网设备变得越来越智能化,IoT产生并捕获了大量复杂的分布式异构数据。在这次报告中,Alam博士讨论了物联网应用中先进的数据挖掘技术,包括分布式和并行数据挖掘、数据挖掘中的隐私保护、事件敏感数据挖掘、组数据挖掘、可信数据挖掘等等。现场老师和研究生们与Alam博士进行了深入的交流,对Alam博士精彩的报告及解答给予了热烈的掌声。

Md Zakirul Alam Bhuiyan, PhD, is currently an Assistant Professor of the Department of Computer and Information Sciences at the Fordham University, NY, USA, the Founding Director of Fordham Dependable and Secure System Lab (DependSys). Earlier, he worked as an Assistant Professor at the Temple University. His research focuses on dependability, cyber security, big data, and cyber physical systems. He has over 120 papers published in prestigious venues, including top tier IEEE/ACM transactions/magazines. He has served as a lead guest/associate editor for IEEE TBD, ACM TCPS, INS, FGCS, IEEE IoT journal, Cluster Computing, TJCA, and so on. He has also served as an organizer, general chair, program chair, workshop chair, and TPC member of various international conferences, including IEEE INFOCOM. He has received the IEEE TCSC Award for Early Career Research Excellence (2016-2017) and the IEEE Outstanding Leadership Awards (2016, 2017) and IEEE Service Award (2017). He is a senior member of IEEE and a member of ACM.