报告人学术简介
 孙聪，北京邮电大学数学科学学院教授、博士生导师。2008年本科毕业于北京邮电大学理学院，2013年博士毕业于中国科学院数学与系统科学研究院。她的主要研究领域是非线性优化方法，特别是优化在信号处理、无线通信中的应用。她曾获第三届中国科协青年托举人才工程的资助，入选北京邮电大学1551人才计划。孙聪博士发表论文四十余篇，工作曾获北京运筹学会青年论文奖。她目前是中国运筹学会理事、副秘书长，中国运筹学会数学与智能分会委员，北京市运筹学会理事。

报告内容
 The worst case secrecy rate maximization problem is considered for the multiple input multiple output wiretap channel aided by reconfigurable intelligent surface, where the channel coefficients related to the eavesdropper have estimation errors. The artificial noise is considered with nullspace precoding technique. The corresponding problem is a mixed integer robust problem. It is reformulated as an equivalent bilevel problem. The analytic solution for the approximated lower level problem is deduced and proved. For the upper level problem, a single loop method based on projected gradient method is proposed. Numerical results verify the effectiveness of the proposed model and the high efficiency of the proposed method.