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Title: Urban Computing: Using Big Data to Solve Urban Challenges
Originating Office: IAS
Speaker: Zheng, Yu
Issue Date: 9-Jan-2015
Event Date: 9-Jan-2015
Group/Series/Folder: Record Group 8.15 - Institute for Advanced Study
Series 3 - Audio-visual Materials
Location: 8.15:3 EF
Notes: IAS seminar series on big data.
Title from opening screen.
Abstract: Urban computing is a process of acquisition, integration, and analysis of big and heterogeneous data generated by a diversity of sources in cities to tackle urban challenges, e.g. air pollution, energy consumption and traffic congestion. Urban computing connects unobtrusive and ubiquitous sensing technologies, advanced data management and analytics models, and novel visualization methods, to create win-win-win solutions that improve urban environment, human life quality, and city operation systems. Urban computing is an inter-disciplinary field where computer science meets urban planning, transportation, economy, the environment, sociology, and energy, etc., in the context of urban spaces. In this talk, the speaker will present his recent progress in urban computing, introducing the key applications and technologies for integrating and deep mining big data. Examples include fine-grained air quality inference throughout a city, city-wide estimation of gas consumption and vehicle emissions, and diagnosing urban noises with big data. The research has been published at prestigious conferences (such as KDD and UbiComp) and deployed in the real world. More details can be found on http:// default.aspx
Prof Yu Zheng received his PhD in Communication and Information Systems from Southwest Jiaotong University in 2006. He joined Microsoft Research since then, and is currently the lead researcher. He is also Chair Professor of Computer Science at Shanghai Jiao Tong University.
Prof Zheng’s research interests include urban big data analytics, spatio-temporal data mining, and ubiquitous computing. Currently, he is leading the research on urban computing in Microsoft Research, passionate about using big and heterogeneous data generated in cities to tackle urban challenges. He has built a number of real big data systems, such as GeoLife, T-Drive, T-Share, CityNoise, and Urban Air, which drew widespread attention from academia, industries, and media. His technologies have been transferred into Microsoft products, such as Bing Search, Bing Maps, and CityNext. Particularly, the Urban Air system built by his team has been deployed by the Chinese Ministry of Environmental Protection to infer and forecast fine grained air quality for over 20 cities in China.
Prof Zheng has received 3 technical transfer awards from Microsoft and 24 granted/filed patents. He was named one of the Top Innovators Under 35 by MIT Technology Review for his research on using data science to solve urban challenges, and one of the Top 40 Business Elites under 40 in China by Fortune Magazine for his business impact of urban computing. He was also featured by Time Magazine as a modern innovator due to his research on urban computing. He is a Senior Member of the Association for Computing Machinery and the Institute of Electrical and Electronics Engineers.
Duration: 68 min.
Appears in Series:8.15:3 - Audio-visual Materials
Videos for Public -- Distinguished Lectures