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关于Professor John Williams学术报告的通知(二)

编辑:xdx 日期:2017-05-17 12:12 访问次数:1422

题目:Data, Simulation and Complex System Decision Making

时间:521日(周日)上午10:00

地点:信电楼117会议室

报告人:Professor John Williams, MIT

报告内容:In 2007 Nokia Corporation was worth $149,000,000,000. Five years later it was worth almost nothing. Blackberry and many other large companies have had a similar fate. Last year Britain decided to leave the EU and Donald Trump was elected president. Were these events predictable? If we collected enough data and built sophisticated models could we have foreseen these. The Internet of Things, machine learning, cloud computing, data science and blockchain are changing the structure of business and society.  We now plan smart cities but how do we predict how they will work? For example, how do we predict the impact of autonomous vehicles on the flow of traffic in a city? How do we assess the “what if” scenarios?

In this talk I’ll review some of the models we use to predict physical and cyber systems, with examples from Smart Grid, Global IT and Oil and Gas. I’ll review the various classifications of systems and what they tell us about the world and its predictability.

专家介绍:Professor John Williams was recently named alongside Bill Gates and Larry Ellison as one of the 50 most powerful people for Computer Networks in the world.He is a MIT Professor of Information Engineering within the Engineering Systems Division and Department of Civil and Environmental Engineering. He also heads the Grid/Agent Computing Program at MIT, which develops distributed systems that simulate U.S. critical infrastructure.Most importantly, he serves as the Director for the MIT GDC (Auto-ID Lab, Geonumerics Group, Center for Grid Computing, and Intelligent Engineering Systems Lab).

Prof. Williams is internationally recognized in the field of computational algorithms for large-scale particle simulators and has authored two books and over 100 publications. For the past eight years, his research has focused on architecting of large scale distributed simulation systems. He teaches graduate courses on Modern Software Development and on Web System Architecting. His research interests are: Internet of Things Group; Intelligent Engineering Group; Software Architecture Group.