2017年10月24日，伦斯勒理工学院Ali Tajer教授应徐正元教授邀请做了一场题为“Anomaly Detection in Networked Data”的学术报告。报告会由龚晨教授主持，共50余名师生参加。此次报告会得到了“中科院无线光电通信重点实验室系列讲座”的支持，由中科大信息科学技术学院、中科院无线光电通信重点实验室承办。

在报告中，Ali Tajer教授首先指出在感知和驱动的推动下，许多物理系统开始向互联的网络平台演化。在这些平台中，大容量数据不断生成并用于各种推理和资源分配。由网络生成的数据流间的相关结构可提取它们潜在的互联性和相关作用。这激发了最近对大规模网络数据中相关结构检测的研究。随后，Ali Tajer教授详细介绍了数据自适应相关检测方法。在这个过程中，网络只需部分、顺序地观测数据。Ali Tajer教授将它与观察者能够完全观测网络数据的方法进行对比，并讨论了这一理论在灵敏检测及电网中对抗性行为定位中的应用。报告结束后，Ali Tajer教授与在座的老师和同学们进行了深入的交流，达到了学术交流迸发思想的目的。

报告人介绍：

Ali Tajer is an Assistant Professor of Electrical, Computer, and Systems Engineering at Rensselaer Polytechnic Institute. During 2007-2010 he was with Columbia University where he received the M.A degree in Statistics and Ph.D. degree in Electrical Engineering, and during 2010-2012 he was with Princeton University as a Postdoctoral Research Associate. His research interests include mathematical statistics and network information theory, with applications in data analytics and power grids. Dr. Tajer Serves as an Editor for the IEEE Transactions on Communications, an Editor for the IEEE Transactions on Smart Grid. In the past he has also served as the Guest Editor-in-Chief for the IEEE Transactions on Smart Grid and as a Guest Editor for the IEEE Signal Processing Magazine. He is a senior member of the IEEE and received the United States NSF CAREER award in 2016.