题目: Mining Human Activities in Smarter Cities

 报告人：戴晶

 时间：2011年9月21日，上午10点

 地点：信息楼417室

 摘要:
 The majority of the human race now resides in cities. By 2050, city  dwellers are expected to make up 70% of Earth`s total population, or  6.4 billion people. Urban migration trends for cities in developing  economies are causing significant stress on city infrastructure as  demand outpaces supply for water,energy,transportation,healthcare, education and safety. To tackle these challenges during unprecedented  economic crises, cities are increasingly looking to the technology to  shift the paradigm, help bend cost curves, improve efficiencies, and  enable sustainable ways of delivering the quality of life that  citizens expect while also balancing budgets. Information plays a key  role in managing sustainability to meet the need for this  transformation. Mining information to understand, model, and influence  how city residents behave in using city resources such as water, energy, and transportation, we can help cities become more  sustainable. In this talk, several deployed and ongoing data mining  tasks on human avtivity analysis in US and Europa will be introduced  as part of IBM Smarter Cities Big Bets.

 报告人简介:
 Dr. Jing Dai received the B.S. degree in information science from  Fudan University, M.S. degree in computer science from the National  University of Singapore, and his Ph.D. degree in computer science from  Virginia Tech. He is a researcher for Smarter City Services at IBM T. J. Watson Research Center, working on data management and analytics  for smarter water, smarter energy, and smarter transit.  Before that,  he was working with Virginia Department of Transportation as a major  contributor to a freeway performance monitoring and analysis system,  which won award on the National Academe of Engineering Grand  Challenges Summit. Dr. Dai is an active researcher in spatial data  management, data mining, human activity analysis, and ITS/GIS areas.  He has served as organization committee of several AI and GIS  conferences. Dr. Dai is a member of IEEE and ACM.