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Seminar abstract

The Big Data Challenge

Haixun Wang
Microsoft Research Asia

Abstract :

Web-scale data and the so-called peta-byte age is changing many aspects of business practice and scientific research. On the infrastructure level, it poses significant challenges and push companies such as Google, Microsoft, IBM, Amazon to enable businesses to access and process data stored in the cloud. On the science frontier, it challenges methodologies in many established fields including statistics, machine learning, natural language processing, etc. In this short talk, I will describe the scale of the data deluge, as well the challenges and opportunities that come with it.


Haixun Wang recently joined Microsoft Research Asia in Beijing, China. Before joining Microsoft, he had been a research staff member at IBM T. J. Watson Research Center for 9 years. He was Technical Assistant to Stuart Feldman (Vice President of Computer Science of IBM Research) from 2006 to 2007, and Technical Assistant to Mark Wegman (Head of Computer Science of IBM Research) from 2007 to 2009. He received the B.S. and the M.S. degree, both in computer science, from Shanghai Jiao Tong University in 1994 and 1996. He received the Ph.D. degree in computer science from the University of California, Los Angeles in 2000. His main research interest is database language and systems, data mining, and information retrieval. He has published more than 100 research papers in referred international journals and conference proceedings. He was PC Vice Chair of KDD’10, ICDM’09, SDM’08, and KDD’08, Demo PC Chair of ICDE’09 and ICDM’08, Sponsor Chair of SIGMOD’08, etc., and he serves on the editorial board of IEEE Transactions of Knowledge and Data Engineering (TKDE), Journal of Computer Science and Technology (JCST), as well as in program committees of various international conferences and workshops in the database field, including the coming SIGMOD'10 and VLDB'10.
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