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KOKETSU RODRIGUES TIAGO  KOKETSU・RODRIGUES TIAGO

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KOKETSU・RODRIGUES TIAGO  コウケツ・ロドリゲス チアゴ

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Researcher Number 60882256
Other IDs
Affiliation (Current) 2026: 東北大学, 情報科学研究科, 准教授
Affiliation (based on the past Project Information) *help 2022 – 2024: 東北大学, 情報科学研究科, 助教
Review Section/Research Field
Principal Investigator
Basic Section 60060:Information network-related
Keywords
Principal Investigator
Computer Networks / Federated Learning / Digital Twin / Cloud Systems / Network Management / 6G Networks / Quantum Learning / High Frequency Bands / UAV Networks / Satellite Networks / Computation Offloading / Machine Learning / Distributed Learning
  • Research Projects

    (1 results)
  • Research Products

    (7 results)
  • Co-Researchers

    (1 People)
  •  A Study on Federated Learning for Efficient Communication Resource Allocation in 6G Heterogeneous NetworksPrincipal Investigator

    • Principal Investigator
      KOKETSU・RODRIGUES TIAGO
    • Project Period (FY)
      2022 – 2025
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 60060:Information network-related
    • Research Institution
      Tohoku University

All 2025 2024 2023 2022

All Journal Article Presentation

  • [Journal Article] Exploiting Radio Frequency Characteristics With a Support Unmanned Aerial Vehicle to Improve Wireless Sensor Location Estimation Accuracy2024

    • Author(s)
      Kato Mina、Koketsu Rodrigues Tiago、Abe Toru、Suganuma Takuo
    • Journal Title

      IEEE Internet of Things Journal

      Volume: 11 Issue: 24 Pages: 39570-39578

    • DOI

      10.1109/jiot.2024.3448394

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22K17877
  • [Journal Article] Smart Handover with Predicted User Behavior using Convolutional Neural Networks for WiGig Systems2024

    • Author(s)
      Rodrigues Tiago Koketsu、Verma Shikhar、Kawamoto Yuichi、Kato Nei、Fouda Mostafa M.、Ismail Muhammad
    • Journal Title

      IEEE Network

      Volume: Early Access Issue: 4 Pages: 1-1

    • DOI

      10.1109/mnet.2024.3353301

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K17878, KAKENHI-PROJECT-22K17877
  • [Presentation] The Future of Deep Learning: Benefits of Federated Learning and How to Efficiently Apply it to 6G Heterogeneous Networks2025

    • Author(s)
      Tiago Koketsu Rodrigues
    • Organizer
      Tohoku U-NTU Symposium on AI and Human Studies
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K17877
  • [Presentation] Safe Deep Learning for Efficient Communication Resource Allocation in 6G Heterogeneous Networks2024

    • Author(s)
      Tiago Koketsu Rodrigues
    • Organizer
      22nd ACM International Conference on Mobile Systems, Applications, and Services
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K17877
  • [Presentation] Combination of Distributed and Centralized Learning over Satellite Networks2023

    • Author(s)
      Tiago Koketsu Rodrigues
    • Organizer
      2023 Annual Workshop on A3 Foresigh Program
    • Invited
    • Data Source
      KAKENHI-PROJECT-22K17877
  • [Presentation] Deep Q Networks with Centralized Learning over LEO Satellite Networks in a 6G Cloud Environment2022

    • Author(s)
      Tiago Koketsu Rodrigues
    • Organizer
      2022 IEEE Global Communications Conference (GLOBECOM)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K17877
  • [Presentation] Study on Deep Neural Networks Applied for Smart Access Point Association in 6G WiGig Networks2022

    • Author(s)
      Tiago Koketsu Rodrigues
    • Organizer
      2022 Annual Workshop on A3 Foresigh Program
    • Invited
    • Data Source
      KAKENHI-PROJECT-22K17877
  • 1.  SHIKHAR
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results

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