Researcher

Takafumi Nakanishi

Senior Research Fellow
Doctor (Engineering) / Master (Engineering)

■Research Area
Data Mining, Kansei Information Processing, Big Data Analysis, Semantic and Contextual Processing, Data Science, Artificial Intelligence

I am conducting basic and applied research on the recognition of media content, the realization of creative ecosystems, the construction of frameworks for decision-making using big data, and the clarification of decision-making and consensus-building processes, using data mining, Kansei information processing, and semantic and contextual processing technologies as core technologies.

The essence of big data and artificial intelligence, which have been the focus of much attention in recent years, is to construct systems using big data and to make optimal “decisions” based on the analysis results.
I am engaged in research and development of data mining methods to derive knowledge that enables “decision making” based on continuously accumulated data.

Through these methods, I am not only to realize a data ecosystem that enhances human creativity, but also to elucidate and realize the human “decision-making” and “consensus-building” processes using data, and furthermore, to develop the science of human knowledge creation.

Brief History

Born in Ise City, Mie Prefecture, Japan, in 1978, Takafumi received his Ph.D. in Engineering from the Graduate School of Systems and Information Engineering, University of Tsukuba in March 2006. He has been engaged in research and development of knowledge cluster systems and large-scale data analysis and visualization methods at the National Institute of Information and Communications Technology (NICT) and is Associate Professor at the Department of Data Science, Faculty of Engineering, Musashino University. He is also a visiting professor at the Graduate School of Digital Hollywood University. His research interests include data mining, big data analysis systems, integrated databases, Kansei information processing, and media content analysis.

Major Works

  • “Singularity Isn’t Scary: Let’s Think About Artificial Intelligence with a Little Calm” (Soshisha, 2017)
  • “Smart Data Innovation” (Shoei-sha, 2015)
  • “Perspectives on Social Media: A Yearbook” (Routledge, 2015)
  • ”A Discovery Method of Anteroposterior Correlation for the Big Data Era” (Software Engineering, Artificial Intelligence, Networking and Parallel / Distributed Computing, 2015)

Major Lectures

    • “What Will AI Do for You?”, Human-Compatible Artificial Intelligence Will Change Japan’s Future – AI Brings Innovation to Life and Business, November 28, 2016.
    • “Big data is driving marketing back from ‘mass’ to ‘individual customer’,” DIAMOND Harvard Business Review (online edition), December 21, 2015.
    • “Smart Data Innovation through Data Exchange,” Perspectives on Data Application Business – Big, Open, and Personal, April 23, 2015.

Educational Background

April 2001 – March 2006, Graduate School of Systems and Information Engineering, University of Tsukuba
Obtained a Master’s degree in Engineering from the Graduate School of Systems and Information Engineering, University of Tsukuba, in March 2003
Ph.D. (Engineering) from the University of Tsukuba, Graduate School of Systems and Information Engineering, March 2006

Career

April 2006 – Researcher, National Institute of Information and Communications Technology (NICT)
October 2013, Research Promotion Officer (Senior Researcher), National Institute of Information and Communications Technology (NICT)
April 2014, Associate Professor and Senior Researcher, International University of GLOCOM
April 2018, Associate Professor, Department of Mathematical Engineering, Faculty of Engineering, Musashino University
Associate Professor, Department of Data Science, Faculty of Data Science, Musashino University, April 2019
/ Senior Researcher, GLOCOM, International University of Japan

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