Big Data Engineering
As people say "Data is the new oil," Big data is expected to make large impact on our society and economics by mining hidden knowledge and rules from big data. In particular, the structure of the real world data is changing from traditional relational data model to more generalized graph data model, as web and social media are getting popular in the world.
One of the most important technical challenges here is to efficiently analyze large size of graph data that expresses various types of relationship between people, items, and places. In detail, we explore research field of
1) distributed data processing framework running on large number of computers,
2) efficient graph mining algorithms, and
3) data visualization.
In addition to the technical challenges described above, we also try to apply our techniques to real world problems; for improving the care quality for patients with cognitive impairment and for achieving personalized smart shopping with advanced sensors and actuators.
- 1991 Employed, NTT
- 2000-2001 Visiting Scholar, University of Washington
- 2007 Ph.D in Engineering, Tokyo Institute of technology
- 2010-2014 Distinguished Technical Member, NTT
- 2011-2012 Visiting Associate Professor, University of Electro-communications
- 2013-2014 Visiting Professor, University of Electro-communications
- 2014 Professor, Graduate School of Information Science and Technology, Osaka University
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