当代社会面临的挑战多为复杂系统的问题。在解决这些问题的过程中，工业工程凸显其交叉学科的优势，综合其工程、管理等方面的知识，发挥更为重要的作用。如果你想了解如何发挥工业工程的作用，那么就来参加这次讲座吧。

嘉宾介绍

Speaker

Prof. Shiyan Hu received his Ph.D. in Computer Engineering from Texas A&M University in 2008. He is the Professor and Chair of Cyber-Physical System Security at University of Southampton. His research interests include Cyber-Physical Systems (CPS) and CPS Security, where he has published more than 100 refereed papers, including 60+ in IEEE Transactions. Prof. Hu is an ACM Distinguished Speaker, an IEEE Systems Council Distinguished Lecturer, a recipient of U.S. National Science Foundation CAREER Award, and a recipient of IEEE Computer Society TCSC Middle Career Researcher Award. His publications have received a few distinctions such as the 2018 IEEE Systems Journal Best Paper Award, the 2017 Keynote Paper in IEEE Transactions on Computer-Aided Design, the March 2014 Front Cover Paper in IEEE Transactions on Nanobioscience, multiple Thomson Reuters Highly Cited Papers, etc. He is the Chair for IEEE Technical Committee on Cyber-Physical Systems and the Editor-In-Chief of IET Cyber-Physical Systems: Theory & Applications. He has served as the 2020 Editor-in-Chief Search Committee Chair for ACM Transactions on Design Automation of Electronic Systems. He is an Associate Editor for IEEE Transactions on Computer-Aided Design, IEEE Transactions on Industrial Informatics, IEEE Transactions on Circuits and Systems II, ACM Transactions on Design Automation of Electronic Systems, ACM Transactions on Cyber-Physical Systems, and a Guest Editor for 8 IEEE/ACM journals including Proceedings of the IEEE (PIEEE) and IEEE Transactions on Computers. He has held chair positions in various IEEE conferences. He is a Fellow of IET and a Fellow of British Computer Society. More information about him is at http://personal.southampton.ac.uk/sh2e19/

讲座介绍

Abstract

The massive deployment of advanced metering infrastructures has mandated a transformative shift of the classical power grid towards a more reliable smart grid. However, such a cyber-physical power system is vulnerable to various cyberattacks. In this talk, I will describe a systematic machine learning and data analytics framework, which is based on partially observable Markov decision process, orthogonal matching pursuit, and empirical mode decomposition, to detect anomaly energy usage behavior through analyzing the massive smart meter data. I will also discuss how this framework can be used to detect smart grid cyberattacks such as energy theft. I will conclude the talk with some of the ongoing research in this direction. 

聆听讲座

Join the seminar

日期：9月24日

时间：13:30-14:30

主题：Data Analytics for Smart Energy Cyber-Physical System Security

主讲人：Shiyan Hu

主持人：Hai Jiang

参加方式（一）：荷塘雨课堂（清华师生），邀请码：W141WB

参加方式（二）：腾讯会议，会议ID：210 696 220

清华IE讲堂 

为了建立良好的学习氛围，提高专业认识，促进学术交流，清华大学工业工程系开设“清华IE讲堂”，不定期组织专业讲座（主要面向本科生）、学术报告（主要面向研究生和教师）、校友分享会和就业宣讲会，并对其他高校师生和社会人士开放。

近期所有讲座和报告将通过清华荷塘雨课堂和ZOOM会议系统进行。诚挚邀请校友、学界同仁和业界嘉宾开讲。请随时留意我系公众号（Tsinghua-IE2001）或主页(http://www.ie.tsinghua.edu.cn）上的相关通知。