AQFC2015

Urban Computing–Using Big Data to Solve Urban Challenges

 


Department of Systems Engineering and Engineering Management
The Chinese University of Hong Kong

Title: Urban Computing–Using Big Data to Solve Urban Challenges
 
Speaker: Dr. Yu Zheng,
Microsoft Research in Beijing
 
Date: March 28, 2014 (Friday)
 
Time: 4:30 PM to 5:30 PM
 
Venue: Room 513
       William M.W. Mong Engineering Building (ERB)
       (Engineering Building Complex Phase 2)
       The Chinese University of Hong Kong.

Short Biography of the speaker:
Dr. Yu Zheng is a lead researcher from Microsoft Research in Beijing. He is also a visiting Chair Professor at Shanghai Jiaotong University, and an adjunct professor at Southwest Jiaotong University. He is passionate about using big and heterogeneous data generated in urban spaces to tackle the big challenges that cities face, such as transportation, pollution, and energy. He has published over 50 referred papers as a leading author at quality conferences and journals, such as SIGMOD, VLDB, ICDE, SIGKDD, AAAI, WWW, UbiComp, and IEEE TKDE, where he received 4 best paper awards and 1 best paper nominee. His research has been featured multiple times by top-tier presses, like MIT Technology Review and New Scientist. Zheng has been serving over 30 prestigious international conferences as a chair or program committee member, such as the program co-chair of ICDE2014 (industrial track). He is currently a member of Editorial Advisory Board of IEEE Spectrum and an associate editor of GeoInformatica and journal on location-based services. He has been invited to give keynote speeches at international conferences, e.g. IE2014, and ISKE2013, and guest lectures in universities like MIT, CMU, and Cornell. His book, titled “Computing with Spatial Trajectories”, has been used as a text book in USA, Canada, Australia, Korea, and China. Zheng has received 3 technical transfer awards from Microsoft and 22 granted/filed patents. In 2008, he was recognized as the Microsoft Golden Star. He is an IEEE senior member, ACM senior member, and a Distinguished Speaker of China Computer Federation. In 2013, he was named Top Innovators under 35 by MIT Technology Review (TR35) for his research using data sciences to solve urban challenges. He was also featured by Time Magazine due to his research on urban computing in Nov 2013. More details can be found on his homepage: http://research.microsoft.com/en-us/people/yuzheng/
 
Abstract:
Urban computing is a process of acquisition, integration, and analysis of big and heterogeneous data generated by a diversity of sources in urban spaces, such as sensors, devices, vehicles, buildings, and human, to tackle the major issues that cities face, e.g. air pollution, increased 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. In this talk, we will present our recent research into urban computing, introducing the applications and technologies for integrating and deep mining heterogeneous data. Examples include large-scale dynamic ridesharing, identifying different functional regions (e.g., residential and commercial areas) in urban spaces, crowd sending city-wide gas consumption, and fine-grained air quality inference throughout a city. These examples have been published in top-tier conferences and journals recently, such as KDD, UbiComp, ICDE. More details can be found on http://research.microsoft.com/en-us/projects/urbancomputing/default.aspx.
 
                      Everyone is invited to attend the talk.
 
The talk will be hosted by:
Prof. Hong Cheng,
Department of Systems Engineering and Engineering Management,
The Chinese University of Hong Kong,
Telephone Number: (852) 3943-8300
 
For general enquiries, please contact the student coordinator:
Andy Chung,
Department of Systems Engineering and Engineering Management,
The Chinese University of Hong Kong,
 
SEEM-5202 Website: http://seminar.se.cuhk.edu.hk
Date: 
Friday, March 28, 2014 - 08:30 to 09:30