12月26日(周三)14:30里海大学Liang Cheng教授学术报告 -- Data-driven and Model-based Analysis for Intelligent Infrastructure?

发布者:系统管理员发布时间:2018-12-19浏览次数:3707

1226日(周三)1430里海大学Liang Cheng教授学术报告

-- Data-driven and Model-based Analysis for Intelligent Infrastructure 

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报告题目:Data-driven and Model-based Analysis for Intelligent Infrastructure

  人:Liang Cheng教授

    位:里海大学

    间:20181226日周三1430

    点:中心楼二楼教育部重点实验室会议室

邀请人:张凯锋教授

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欢迎各位老师和研究生参加!

Title: Data-driven and Model-based Analysis for Intelligent Infrastructure

 

Abstract: In this talk, I will discuss several case studies of data-driven and model-based approaches to enabling intelligent infrastructure. Specifically I will discuss how to analyze cyber-physical systems affected by random processes against deterministic performance requirements using power substation automation systems as an example. The research was initiated from discussions with industry collaborators when they were helping their customers to modernize substation automation systems for smart grid applications by adopting international standard IEC (International Electro-technical Commission) 61850. I’ll also discuss case studies of real-time bridge monitoring and underground sensing.

 

Bio: Prof. Liang Cheng's research is geared toward enabling smarter cities based on the convergence of real-time sensing, model-driven data analytics, and machine learning through inter-disciplinary projects. He has served as an expert reviewer for projects/grant proposals/panels for programs in U.S. such as NSF, DOE, NIH (National Institute of Health), and GENI (Global Environment for Network Innovations), and in Europe such as The Knowledge Foundation and Austrian Science Fund. Prof. Cheng has advised six Ph.D. students to their graduation and supervised two postdocs at Lehigh University. He was a keynote speaker at IEEE International Conference on the Edges of Innovation for Smarter Cities, 2015. He was a Visiting Professor at TU Dortmund, Germany and University of Science and Technology of China during his sabbatical year. More information about his research and scholarship can be found at http://liangcheng.info/.