讲座信息
11.02| Using Edge Computing, Sensing, and Data Analytics to Understand and Improve Cities
2017.10.26

时间: 2017年11月2日(星期四)上午10:00-11:00
地点: 张江校区计算机楼405
报告人: Dr. Charlie Catlett (Argonne National Laboratory, USA)
联系人: 陈阳 chenyang@fudan.edu.cn

Abstract:
Urbanization is one of the great challenges and opportunities of this century, inextricably tied to global challenges ranging from climate change to sustainable use of energy and natural resources, and from personal health and safety to accelerating innovation and education. There is a growing science community—spanning nearly every discipline—pursuing research related to these challenges.  The availability of urban data has increased over the past few years, in particular through open data initiatives, creating new opportunities for collaboration between academia and local government in areas ranging from scalable data infrastructure to tools for data analytics, along with challenges such as replicability of solutions between cities, integrating and validating data for scientific investigation, and protecting privacy.  For many urban questions, however, new data sources will be required with greater spatial and/or temporal resolution, driving innovation in the use of sensors in mobile devices as well as embedding intelligent sensing infrastructure in the built environment.  Collectively these data sources also hold promise to begin to integrate computational models associated with individual urban sectors such as transportation, building energy use, or climate. Catlett will discuss the work that Argonne National Laboratory and the University of Chicago are doing in partnership with the City of Chicago and other cities through the Urban Center for Computation and Data (www.UrbanCCD.org), focusing in particular on new opportunities related to embedded systems and experience to date with the Array of Things project in Chicago and partner cities.

Brief Biography:
Charlie Catlett is the founding director of the Urban Center for Computation and Data, UrbanCCD, an interdisciplinary center that explores science-based approaches to understanding, designing, and sustainably operating cities, applying expertise, tools, and resources from computational modeling, data analytics, and embedded systems. He currently leads the NSF-funded Array of Things project, establishing a 500-node network of intelligent sensor and edge computing units in Chicago, based on the Argonne-developed Waggle platform.
Charlie is a Senior Computer Scientist at Argonne National Laboratory and a Senior Fellow at the Computation Institute of the University of Chicago and Argonne National Laboratory, the University of Chicago’s Mansueto Institute for Urban Sciences, and at the University of Chicago’s Harris School of Public Policy.

From 2007 to 2011 he was Argonne’s Chief Information Officer, and from 2004 to 2007 he directed the NSF TeraGrid—a nationally distributed supercomputing facility involving fifteen universities and federal laboratories.  From 1999 to 2004 Charlie created I-WIRE, an optical network that connects research institutions in Chicago and downstate Illinois to support advanced research and education.

Before joining UChicago and Argonne in 2000, Charlie was Chief Technology Officer at the National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign.  From 1985 he participated in the development of the Internet, and was integrally involved in the launch of the NCSA Mosaic web browser and exponential growth of the Internet.

Recognized as one of 25 “Doers, Dreamers & Drivers” of 2016 by Government Technology magazine and in 2014 as one of Chicago’s “Tech 50” technology leaders by Crain’s Chicago Business, Charlie is a Computer Engineering graduate of the University of Illinois at Urbana-Champaign.

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