Rchr
J-GLOBAL ID:201401004881150135   Update date: Aug. 26, 2020

Sakai Kazuya

サカイ カズヤ | Sakai Kazuya
Affiliation and department:
Job title: 准教授
Homepage URL  (2): http://www.comp.sd.tmu.ac.jp/kazuyasakai/http://www.comp.sd.tmu.ac.jp/kazuyasakai/
Research field  (2): Information security ,  Information networks
Research keywords  (4): Distributed computing ,  Mobile computing ,  Information security ,  Network security
Research theme for competitive and other funds  (6):
  • 2020 - 2023 ヘテロジニアス遅延耐性ネットワークを用いた災害復旧クラウドソーシングに関する研究
  • 2020 - 2022 ヘテロジニアス IoT システムにおける暗号プロトコルに関する研究
  • 2019 - 2020 暗号化されたデータを用いた秘匿性の高い機械学習アルゴリズムの開発
  • 2017 - 2020 災害復旧クラウドソーシングにおける分散型タスクルーティングに関する研究
  • 2018 - 2019 機械学習を用いたランサムウェア検知手法に関する研究
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Papers (25):
Education (4):
  • 2010 - 2013 The Ohio State University Department of Computer Science and Engineering
  • 2008 - 2010 Auburn University Department of Computer Science and Software Enginneering
  • 2005 - 2007 Kansai University Department of Electronics
  • 2000 - 2004 Kansai University Department of Electronics
Professional career (1):
  • Ph.D. (The Ohio State University)
Work history (4):
  • 2020/04 - 現在 Tokyo Metropolitan University Electrical Engineering and Computer Science Associate Professor
  • 2018/04 - 2020/03 Tokyo Metropolitan University Department of Electrical Engineering and Computer Science Associate Professor
  • 2014/01 - 2018/03 Tokyo Metropolitan University Department of Information and Communication Systems Assistant Professor
  • 2005/05 - 2006/12 Auburn University Department of Computer Science and Software Engineering Visiting Scholar
Committee career (4):
  • 2020 - 2020 WASA 2020 TPC
  • 2018 - 2020 IEEE ICCCN 2018, 2019, 2020 TPC
  • 2018 - 2020 IEEE IPCCC 2018, 2019, 2020 TPC
  • 2019 - IEEE ICDCS 2019 TPC
Awards (2):
  • 2016/12 - IEEE Computer Society Japan Chapter Young Author Award 2016.
  • 2010/09 - The Ohio State University The O'Donnell Fellowship
Association Membership(s) (4):
ACM ,  IEEE ,  情報処理学会 ,  IEICE
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

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