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Advanced Core Technologies for Big Data Integration

Strategic Objective

Creation, advancement, and systematization of innovative information technologies and their underlying mathematical methodologies for obtaining new knowledge and insight from use of big data across different fields

Research Supervisor


Masaru Kitsuregawa (Director General, National Institute of Informatics)

Deputy Research Supervisor


Etsuya Shibayama (Professor, Information Technology Center, The University of Tokyo)

Outline

Along with the penetration of ICT in society and the advance and spread of sensors, measurement instruments and observation equipment for gathering information in the real world, the amount of data obtained from various fields has grown exponentially and continues to become more diverse and more frequent in occurrence. Advanced integration and use of big data are expected to bring about science and technology innovation and the creation of intellectual value through new scientific discoveries, with development of the resulting knowledge leading to creation of social and economic value as well as improvement and optimization of services.

This research area will aim for the creation, advancement, and systematization of next-generation core technology solving of essential issues common among a number of data domains, and integrated analysis of big data in a variety of fields.

Specific development targets include technology for stable operation of large-scale data management systems that compress, transfer, and store big data, technology for efficiently retrieving truly necessary knowledge by means of search, comparison, and visualization across diverse information, and the mathematical methods and algorithms enabling such services. In pursuing these studies, with a view to overall system design up to the creation of value for society from big data, the creation, advancement, and systematization of next-generation common core technology highly acceptable to the public will be undertaken, through active efforts at fusion with fields outside of information and communication technology.

Moreover, in this research area collaboration will be encouraged with the related area, “Advanced Application Technologies to Boost Big Data Utilization for Multiple-Field Scientific Discovery and Social Problem Solving,” such as by sharing and use of the next-generation core application technology and data obtained in that research.

Research Area Advisors

・Kaoru Arakawa
Professor, School of Interdisciplinary Mathematical Sciences, Meiji University

・Mitsuru Ishizuka
Professor emeritus, The University of Tokyo

・Naonori Ueda
Senior Distinguished Scientist/Director, Machine Learning・Data Science Center,
NTT Communication Science Laboratories

・Hidehiko Tanaka
President/Professor, Graduate School of Information Security
Institute of Information Security

・Jun’ichi Tsujii
Principal Researcher, Microsoft Research Asia

・Hideyuki Tokuda
Professor, Faculty of Environment and Information Studies, Keio University

・Takeshi Tokuyama
Professor, Graduate School of Information Sciences, Tohoku University

・Teruo Higashino
Professor, Graduate School of Information Science and Technology,
Osaka University

・Kazuo Murota
Professor, Graduate School of Information Science and Technology, the University of Tokyo

・Hiroto Yasuura
Trustee(Vice President), Kyushu University

・Hiroyuki Kitagawa (PRESTO)
Professor, Graduate School of Systems and Information Engineering, University of Tsukuba

・Yamanishi Kenji (PRESTO)
Professor, Graduate School of Information Science and Technology, the University of Tokyo

・Calton Pu (International Advisor)
Professor, Georgia Institute of Technology

Year Started : 2013

Establishment of Knowledge-Intensive Structural Natural Language Processing and Construction of Knowledge Infrastructure

Research Director:
Sadao Kurohashi(Professor, Graduate School of Informatics, Kyoto University)

Privacy-preserving data collection and analytics with guarantee of information control and its application to personalized medicine and genetic epidemiology

Research Director:
Jun Sakuma(Professor, Graduate School of Systems and Information Engineering, University of Tsukuba)

EBD: Extreme Big Data – Convergence of Big Data and HPC for Yottabyte Processing

Research Director:
Satoshi Matsuoka(Professor, Global Scientific Information and Computing Center, Tokyo Institute of Technology)

Discovering Deep Knowledge from Complex Data and Its Value Creation

Research Director:
Kenji Yamanishi(Professor, Graduate School of Information Science and Technology, The University of Tokyo)

Year Started : 2014

Data Particlization for Next Generation Data Mining

Research Director:
Takeaki Uno(Professor, Principles of Informatics, National Institute of Informatics)

Foundations of Innovative Algorithms for Big Data

Research Director:
Naoki Katoh(Professor, Graduate School of Engineering, Kyoto University)

Recognition, Summarization and Retrieval of Large-Scale Multimedia Data

Research Director:
Tatsuya Harada(Professor, Graduate School of Information Science and Technology, The University of Tokyo)

The Security Infrastructure Technology for Integrated Utilization of Big Data

Research Director:
Atsuko Miyaji(Professor, School of Information Science, Japan Advanced Institute of Science and Technology)

Year Started : 2015

Application-Centric Overlay Cloud Utilizing Inter-Cloud

Research Director:
Kento Aida(Professor, Information Systems Architecture Research Division, National Institute of Informatics)

Discrete Structural Statistics: A Data-centric Framework for Empowering Cancer Science

Research Director:
Koji Tsuda(Professor, Graduate School of Frontier Sciences, The University of Tokyo)

Secure Data Sharing and Distribution Platform for Integrated Big Data Utilization

Research Director:
Hayato Yamana(Professor, Department of Computer Science and Engineering, Waseda University)

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  • CREST
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  • ACCEL
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  • Promoting Globalization on Strategic Basic Research Programs
  • ALCA
  • RISTEX
  • JST-CIRM
  • s_innov
  • Development of Advanced Measurement and Analysis Systemsicon
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