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日本語

UEMATSU Yukio  Associate Professor
Tokyo University of Science, Faculty of Science and Technology, Department of Information Sciences
Profile | Topics | Assigned Courses(11)
Address 2641 Yamazaki, Noda-shi, Chiba-ken 278-8510, Japan
TEL : +81-4-7124-1501
E-mail Address
Homepage https://cs.stanford.edu/people/yukio/ (English)
https://dept.tus.ac.jp/st-is/research/uematsu/
Information about TUS https://www.tus.ac.jp/academics/teacher/lightbox/3a7d.html
Pure
(Researcher Profiling Tool)
Under-Graduate School
  • 2001, Tokyo University of Science Faculty of Science and Engineering Industrial Administration 
Graduate School
  • 2003, Tokyo University of Science Graduate School, Division of Science and Engineering Industrial Administration Master's Degree
Postgraduate Qualification
  • Tokyo University of Science Ph.D(Engineering)
Research History
  • 2001-2003: Engaged in research on information extraction using inductive logic programming
    2003-2009: Engaged in research and development on information retrieval
    2009-2014: Engaged in research and development on information recommendation and retrieval
    2014-2024: Engaged in research and development on anomaly detection in mobile network systems
    2024-Present: Engaged in research and development on information retrieval and the utilization of generative AI
Employment History
  • 200304-201901 NTT Holdings, Laboratories, Service Evolution lab., Senior reseacher
    201902-202408 Nokia Solutions and Networks G.K., Senior Datascientist
Research Keyword Information retrieval, Data mining
Research Area
  • Intelligent informatics (Information Retrieval, Large scale data mining)
Research Theme
  • We conduct research focused on information retrieval technologies and large-scale data mining. Specifically, we are engaged in the development of methods to efficiently extract necessary information from large amounts of data and present it in the optimal format for users. We are also focusing on the fusion of information retrieval with generative AI and retrieval-augmented generation, promoting practical research in this area.
Academic Awards Received
Academic Society Affiliations
Guest Professor
  • 2019.4.1 - 2024.3.31

    東京理科大学 研究推進機構

  • 2012.4 - 2014.2

    Stanford University

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