Researcher Profile and Settings

Profile and Settings

Name

• Name

  MASAKI Shogo

Affiliations

Affiliation (Master)

• School of Engineering, Associate Professor
• Department of Information Engineering, Associate Professor
• Graduate School of Engineering, Associate Professor
• Institute for Advanced Studies in Artificial Intelligence, Researcher

Education, Etc.

Education

• Apr. 2008, Mar. 2013
• Apr. 2004, Mar. 2008, Nagoya University, School of Science, Department of Physics
• Apr. 2001, Mar. 2004

Degree

• Mar. 2013

その他基本情報

Academic & Professional Experience

• Apr. 2025
• Apr. 2024, Mar. 2025
• Apr. 2022
• Apr. 2019
• Oct. 2023, Mar. 2024
• Apr. 2023, Mar. 2024
• Apr. 2020, Mar. 2023, Suzuka National College of Technology, Department of Mechanical Engineering, Lecturer
• Apr. 2018, Mar. 2020, Suzuka National College of Technology, Department of Mechanical Engineering, Assistant Professor
• Apr. 2013, Mar. 2018
• Apr. 2011, Mar. 2013

Research Activities

Book, papers, etc

Published Papers

• Galaxy-dark matter connection of photometric galaxies from the HSC-SSP Survey: Galaxy-galaxy lensing and the halo model
  Navin Chaurasiya, Surhud More, Shogo Ishikawa, Shogo Masaki, Daichi Kashino, Teppei Okumura
  Monthly Notices of the Royal Astronomical Society, 527, 3, 5265, 5292, 2024, refereed, Joint Work
• Subhalo abundance matching using progenitor mass at varying redshift: Two modes of stellar mass growth imprinted into the Subaru HSC galaxy clustering
  Shogo Masaki, Daichi Kashino, Shogo Ishikawa, Yen-Ting Lin
  Monthly Notices of the Royal Astronomical Society, 523, 4, 5280, 5291, 2023, refereed, Joint Work
• Impacts of pre-initial conditions on anisotropic separate universe simulations: a boosted tidal response in the epoch of reionization
  Shogo Masaki, Takahiro Nishimichi, Masahiro Takada
  Monthly Notices of the Royal Astronomical Society, 500, 1, 1018, 1028, 2021, refereed, Joint Work
• Anisotropic separate universe simulations
  Shogo Masaki, Takahiro Nishimichi, Masahiro Takada
  Monthly Notices of the Royal Astronomical Society, 496, 1, 483, 496, 2020, refereed, Joint Work
• Constraints on Earth-mass primordial black holes from OGLE 5-year microlensing events
  Hiroko Niikura, Masahiro Takada, Shuichiro Yokoyama, Takahiro Sumi, Shogo Masaki
  Physical Review D, 99, 8, 083503, 083503, 2019, refereed, Joint Work
• Reconstruction of halo power spectrum from redshift-space galaxy distribution: cylinder-grouping method and halo exclusion effect
  Teppei Okumura, Masahiro Takada, Surhud More, Shogo Masaki
  Monthly Notices of the Royal Astronomical Society, 469, 1, 459, 475, 2017, refereed, Joint Work
• Testing subhalo abundance matching from redshift-space clustering
  Mikito Yamamoto, Shogo Masaki, Chiaki Hikage
  arxiv, 1503.03973, 1503.03973, 2015, Not refereed, Joint Work
• Modelling colour-dependent galaxy clustering in cosmological simulations
  Shogo Masaki, Yen-Ting Lin, Naoki Yoshida
  Monthly Notices of the Royal Astronomical Society, 436, 3, 2286, 2300, 2013, refereed, Joint Work
• Understanding the nature of luminous red galaxies (LRGs): Connecting LRGs to central and satellite subhaloes
  Shogo Masaki, Chiaki Hikage, Masahiro Takada, David N. Spergel, Naoshi Sugiyama
  Monthly Notices of the Royal Astronomical Society, 433, 4, 3506, 3522, 2013, refereed, Joint Work
• Distribution of dust around galaxies: an analytic model
  Shogo Masaki, Naoki Yoshida
  Monthly Notices of the Royal Astronomical Society Letters, 423, 1, 117, 121, 2012, refereed, Joint Work
• Matter distribution around galaxies
  Shogo Masaki, Masataka Fukugita, Naoki Yoshida
  The Astrophysical Journal, 746, 1, 38, 43, 2012, refereed, Single Work
• Halo occupation distribution of massive galaxies since z = 1
  Yoshiki Matsuoka, Shogo Masaki, Kimiaki Kawara & Naoshi Sugiyama
  Monthly Notices of the Royal Astronomical Society, 410, 1, 548, 558, 2011, refereed, Joint Work
• Systematic study of gravitational waves from galaxy mergers
  Takahiro Inagaki, Keitaro Takahashi, Shogo Masaki, Naoshi Sugiyama
  Physical Review D, 82, 12, 124007, 124007, 2010, refereed, Joint Work
• The distribution of dark matter around galaxies: Mean surface density profile and outer structure
  Shogo Masaki
  Proceedings of Science, IDM 2010, 080, Jul. 2010

Conference Activities & Talks

• Cosmological simulations for the astrophysical inputs in direct dark matter searches
  Shogo Masaki
  25 Sep. 2018
• Towards evaluating anonymity of trajectory data against an adversary model with realistic background knowledge
  Shogo Masaki
  05 Mar. 2018

Misc

• 3C4-2, 201801
• 統計値を用いたプライバシ保護擬似データ生成手法
  岡田莉奈; 正木彰伍; 長谷川聡; 田中哲士
  情報処理学会シンポジウムシリーズ(CD-ROM), 2017, 2, ROMBUNNO.3F3‐4, 20171016
• 大規模データを実用的な速度で処理可能な匿名化ライブラリの設計と実装評価
  長谷川聡; 正木彰伍; 岡田莉奈
  情報処理学会シンポジウムシリーズ(CD-ROM), 2017, 2, ROMBUNNO.3F3‐1, 20171016
• 攻撃者のモデル化を用いた軌跡情報の匿名性評価法
  正木彰伍
  情報処理学会シンポジウムシリーズ(CD-ROM), 2017, 2, ROMBUNNO.1F3‐3, 20171016
• 3A4-4, 201701
• 3A4-3, 201701
• 行列分解を利用した確率的k‐匿名性を満たす高次元データ公開法
  長谷川聡; 菊池亮; 正木彰伍; 濱田浩気
  情報処理学会シンポジウムシリーズ(CD-ROM), 2016, 2, ROMBUNNO.3A2‐4, 20161004
• 時空間におけるクラスタリングを用いた軌跡情報のk‐匿名化法
  正木彰伍; 長谷川聡; 千田浩司
  情報処理学会シンポジウムシリーズ(CD-ROM), 2016, 2, ROMBUNNO.3A2‐2, 20161004
• 2C1-2, 201601
• 2A3-2, 201601
• 115, 45, 193, 198, 20150521
• 2015, 28, 1, 6, 20150514
• 個人データの活用とプライバシー保護 3.個人データの匿名化とその限界
  高橋克巳; 正木彰伍; 濱田浩気
  The Institute of Electronics, Information and Communication Engineers, 電子情報通信学会誌, 98, 3, 193, 201, 201503
• 属性間の相関を考慮した撹乱再構築法の提案
  齋藤恆和; 五十嵐大; 菊池亮; 廣田啓一; 正木彰伍
  情報処理学会シンポジウムシリーズ(CD-ROM), 2014, 2, ROMBUNNO.3D2-1, 1049, 20141015
• Implementation and Evaluation of a Personal Data Anonymization System Based on Probabilistic Security Measure
  HIROTA KEIICHI; MASAKI SHOGO; SAITOU TSUNEKAZU; KIKUCHI RYOU; IKARASHI DAI; FUJI HITOSHI
  The Institute of Electronics, Information and Communication Engineers, IEICE technical report. Life intelligence and office information systems, 114, 32, 11, 18, 20140515, Anonymization of personal data is expected to be one of the solution to use personal data in a secure manner. However, there is a trade-off between the safety and the usability of anonymized data, and it is known that when the data is processed to be highly safe, the usability of anonymized data decreases siginificantly using conventional anonymization techniques. As approach to solve this problem, we implemented probabilistic k-anonymity in our personal data anonymization system, and made an evaluation using published data and synthetic data. From the evaluation result, we found that the usability of anonymized data differ each even if the parameter given to the system is the same, and it depends on the distribution of the vale in data. In this report, we consider the condition to achieve high usability using probabilistic k-anonymization.
• Implementation and Evaluation of a Personal Data Anonymization System Based on Probabilistic Security Measure
  2014, 3, 1, 8, 20140508
• Implementation and Evaluation of a Personal Data Anonymization System Based on Probabilistic Security Measure
  2014, 3, 1, 8, 20140508
• 3D2-4, 201401
• 4D1-1, 201401
• An analytic model for the distribution of matter and dust around galaxies
  Shogo Masaki
  Proceedings of the 29th Grain Formation Workshop / Dust in Galaxies 2011, 58, 60, 201111

Other Research Activities

Research Grants & Projects

• 2022, 20220401, 20270331, 22K03644
• 2021, 20210901, 20230331, 21H05465
• 2019, 20190401, 20240331, 19H00677
• 2011, 20110401, 20130331, 11J06573