Nishi, Hiroaki

写真a

Affiliation

Faculty of Science and Technology, Department of System Design Engineering ( Yagami )

Position

Professor

Related Websites

External Links

Career 【 Display / hide

  • 1999.04
    -
    2002.02

    Real World Computing Partnership

  • 2002.02
    -
    2003.03

    Hitachi, Ltd., Central Research Laboratory

  • 2003.04
    -
    2004.03

    大学助手(有期)(理工学部システムデザイン工学科)

  • 2004.04
    -
    2005.03

    専任講師(理工学部システムデザイン工学科)

  • 2010.04
    -
    2014.03

    National Institute of Informatics, Invited Associate Professor

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Academic Background 【 Display / hide

  • 1994.03

    Keio University, Faculty of Science and Engineering, 電気工学科

    University, Graduated

  • 1996.03

    Keio University, Graduate School, Division of Science and Engineering, 計算機科学専攻

    Graduate School, Completed, Master's course

  • 1999.03

    Keio University, Graduate School, Division of Science and Engineering, 計算機科学専攻

    Graduate School, Withdrawal after completion of doctoral course requirements, Doctoral course

Academic Degrees 【 Display / hide

  • 博士(工学), Keio University, 1999.12

 

Research Areas 【 Display / hide

  • Manufacturing Technology (Mechanical Engineering, Electrical and Electronic Engineering, Chemical Engineering) / Communication and network engineering (Communication/Network Engineering)

  • Social Infrastructure (Civil Engineering, Architecture, Disaster Prevention) / Social systems engineering

  • Social Infrastructure (Civil Engineering, Architecture, Disaster Prevention) / Safety engineering

  • Informatics / Computer system (Computer System Network)

Research Keywords 【 Display / hide

  • ASIC / CPLD design

  • Community/Cluster Energy Management System

  • Smart City / Smart Community

  • Internet backbone router

  • Internet backbone router or switch architecture

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Books 【 Display / hide

  • この一冊で全部わかるChatGPT & Copilotの教科書

    中島 大介, 西 宏章, SBクリエイティブ, 2024

  • 地球とつながる暮らしのデザイン

    NISHI HIROAKIet al, 株式会社シナノ, 2016.05

    Scope: 家のエネルギーの使い方のシンフォニー(pp.227-232)

  • Smart Grid Research: Vehicular - IEEE Smart Grid Vision for Vehicular Technology: 2030 and Beyond Roadmap

    Hiroaki Nishi, Koichi Inoue, IEEE Standards Committee, 2015.06

  • Anonymization infrastructure and open data in smart sustainable cities

    Jie Chang, Lei Gu, Wei Liu, Kanae Matsui, Hiroaki Nishi and Cuijuan Xia, Approved Deliverable of ITU-T (Telecommunicatino Standardization Section of ITU) Focus Group on Smart Sustainable Cities, 2015.04

  • スマートメータ―からの情報をどう匿名化するか-電力自由化時代の個人情報の活用法- 『インプレス SmartGrid ニューズレター』2014年7月号

    NISHI HIROAKI, 株式会社インプレス, 2014.07

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Papers 【 Display / hide

  • Accelerating m-Invariance for Continuous Big Data Publishing

    Morise K., Nishi H.

    Ieej Transactions on Electrical and Electronic Engineering 21 ( 4 ) 568 - 579 2026.04

    ISSN  19314973

     View Summary

    To prevent personal information leakage from the collection and publication of big data, anonymization techniques that protect privacy while preserving data utility are essential. In particular, m-invariance provides privacy protection for dynamic datasets that are continuously published as records are updated. However, previous studies have faced challenges where execution time increases with the total dataset size, and no evaluations have been conducted for large-scale datasets. In our replication of prior research, the anonymization of 1 million dynamic records required an average execution time of approximately 7 h. To address this issue, we propose a novel m-invariance algorithm focused on record insertion and deletion, which is independent of the total dataset size. We implemented our algorithm on both CPU and FPGA platforms, achieving execution times of under 5 s for 5000 updates in a 1 million-record dataset on both platforms. The throughput per updated record was measured at 57 ms/record for the CPU-based implementation and 2 ms/record for the FPGA-based implementation. Furthermore, through buffer resource optimization on FPGA, we demonstrated the capability to anonymize large-scale dynamic datasets exceeding 1 million records. In summary, this study achieves m-invariance anonymization for 1 million dynamic records, enabling updates at a rate of 1 s/record. © 2025 The Author(s). IEEJ Transactions on Electrical and Electronic Engineering published by Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.

  • History-Aware Trajectory k-Anonymization Using an FPGA-Based Hardware Accelerator for Real-Time Location Services

    H Nakano, H Nishi

    2026 IEEE 23rd Consumer Communications & Networking Conference (CCNC), 1-2  2026

     View Summary

    Our previous work established the feasibility of FPGA-based real-time trajectory anonymization, a critical task for protecting user privacy in modern location-based services (LBS). However, that pioneering approach relied exclusively on shortest-path computations, which can fail to capture re- alistic travel behavior and thus reduce the utility of the anonymized data. To address this limitation, this paper introduces a novel, history-aware trajectory k-anonymization methodology and presents an advanced FPGA-based hardware architecture to implement it. Our proposed architecture uniquely integrates par- allel history-based trajectory searches with conventional shortest- path finding, using a custom fixed-point counting module to ac- curately weigh contributions from historical data. This approach enables the system to prioritize behaviorally common routes over geometrically shorter but less-traveled paths. The FPGA implementation demonstrates that our new architecture achieves a real-time throughput of over 6,000 records/s, improves data retention by up to 1.2% compared to our previous shortest-path- only design, and preserves major arterial roads more effectively. These results signify a key advancement, enabling high-fidelity, history-aware anonymization that preserves both privacy and behavioral accuracy under the strict latency constraints of LBS.

  • Hardware-accelerated graph neural networks: an alternative approach for neuromorphic event-based audio classification and keyword spotting on SoC FPGA

    K Jeziorek, P Wzorek, K Blachut, H Nakano, M Dampfhoffer, T Mesquida, ...

    arXiv preprint arXiv:2602.16442  2026

     View Summary

    As the volume of data recorded by embedded edge sensors increases, particularly from neuromorphic devices producing discrete event streams, there is a growing need for hardware-aware neural architectures that enable efficient, low-latency, and energy-conscious local processing. We present an FPGA implementation of event-graph neural networks for audio processing. We utilise an artificial cochlea that converts time-series signals into sparse event data, reducing memory and computation costs. Our architecture was implemented on a SoC FPGA and evaluated on two open-source datasets. For classification task, our baseline floating-point model achieves 92.7% accuracy on SHD dataset - only 2.4% below the state of the art - while requiring over 10x and 67x fewer parameters. On SSC, our models achieve 66.9-71.0% accuracy. Compared to FPGA-based spiking neural networks, our quantised model reaches 92.3% accuracy, outperforming them by up to 19.3% while reducing resource usage and latency. For SSC, we report the first hardware-accelerated evaluation. We further demonstrate the first end-to-end FPGA implementation of event-audio keyword spotting, combining graph convolutional layers with recurrent sequence modelling. The system achieves up to 95% word-end detection accuracy, with only 10.53 microsecond latency and 1.18 W power consumption, establishing a strong benchmark for energy-efficient event-driven KWS.

  • FPGA as a Function: A Low-Code Framework for Edge Computing

    A Takashi, H Nishi

    2026 IEEE 23rd Consumer Communications & Networking Conference (CCNC), 1-6  2026

  • Content-based Fine-grained Flow Management Supporting Out-of-Path Transparent Add-ons

    A Ishizaki, T Fukui, H Nishi

    2026 IEEE 23rd Consumer Communications & Networking Conference (CCNC), 1-2  2026

     View Summary

    This study aims to realize a mechanism for packet processing in the edge domain while maintaining network transparency, in order to accommodate diverse service requirements in smart communities. Since conventional flow control, which operates on a per-packet basis, lacks flexibility, we propose a content-based fine-grained flow management method that enables control at the level of individual content segments within packets. In addition, we introduce an out-of-path transparent add-on architecture to address the limitations of conventional transparent add-ons, which assume the presence of processing resources on the main path. The proposed system implements one approach for selective content masking and two approaches for out-of-path anonymization. Furthermore, we develop a mechanism for dynamically rewriting Ack and Seq numbers to preserve TCP session integrity. The proposed approaches were implemented and evaluated on Mininet, and the results demonstrate that effective flow management can be achieved with minimal impact on network delay while maintaining network transparency.

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Papers, etc., Registered in KOARA 【 Display / hide

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Reviews, Commentaries, etc. 【 Display / hide

Research Projects of Competitive Funds, etc. 【 Display / hide

  • Resilient Vibration Control Method Considering Functional Continuity and Rapid Restoration

    2020.04
    -
    2024.03

    Grants-in-Aid for Scientific Research, Kohiyama Masayuki, Grant-in-Aid for Scientific Research (B), No Setting

     View Summary

    A control system design method to improve resilience performance was developed for medical facilities. Fragility curves and a probability model of recovery time were developed based on information on earthquake damage and recovery of equipment. We proposed a control system design method that searches for LQR control parameters to maximize resilience performance using the recovery curve, which represents the time evolution of facility functionality against assumed earthquake motion, and verified the effectiveness of the method.
    We also developed a warm standby method for data centers, which predicts the earthquake response of servers and migrates virtual machines to the standby system based on the probability of exceeding the threshold value to maintain the functionality.
    In addition, we developed a seismic control system that enhances resilience performance by utilizing an elevated water tank as a sloshing damper, which is a bottleneck for functional maintenance and early recovery.

  • Smart Community Information Platform for Providing Critical Services

    2017.04
    -
    2020.03

    MEXT,JSPS, Grant-in-Aid for Scientific Research, NISHI HIROAKI, Grant-in-Aid for Scientific Research (B), Principal investigator

     View Summary

    The purpose of this study is to construct an information and communication infrastructure that can solve the problem with extreme constraints in a smart community (SC) without affecting the existing information infrastructure and services and to implement and evaluate new SC services that could not be provided in the previous embodiments. Specifically, we demonstrate a new type of regional information infrastructure and smart community by 1. constructing a platform including HW-based SC information infrastructure that can fulfill extreme constraints, 2. proposing and implementing the SC operating system that runs on the platform and various optimization methods that are necessary for providing actual services, and 3. evaluating regional demonstrations using the proposed infrastructure and real traffic.

  • Broadcast Responsive Vibration Control System to Reduce Damage to Facilities

    2016.04
    -
    2020.03

    Grants-in-Aid for Scientific Research, Kohiyama Masayuki, Grant-in-Aid for Scientific Research (B), No Setting

     View Summary

    We have developed an advanced seismic control system that maintains the functions during an earthquake by coordinating with the equipment inside the building. We constructed a method to control the response based on the video by wireless communication with the equipment. In addition, we proposed a method to identify the structural parameters based on the seismic response data of the building, design the control system to minimize the damage occurrence probability, and improve the control performance, which was applied to the existing semi-active seismic isolated building. Regarding the earthquake motion simulation method, we constructed a mathematical model considering that the seismic waveforms of earthquakes with closely located hypocenters are similar. Finally, we discovered that a building subjected to seismic motion could cause torsional resonance due to inertial force perpendicular to horizontal displacement.

Intellectual Property Rights, etc. 【 Display / hide

  • 電力制御システム

    Date applied: 2010-108910  2010.05 

    Patent, Joint

  • 人数推定装置及び人数推定方法

    Date applied: 特願2009-292481  2009.12 

    Patent, Joint

  • 換気量推定装置及び換気量推定方法

    Date applied: 特願2008-180072  2008.07 

    Patent, Joint

  • マニピュレーター装置

    Date applied: 2007-103550  2007.04 

    Date announced: 2008-259607   

    Patent, Joint

  • マスタスレーブ装置、マスタ装置、スレーブ装置、制御方法及びコンピュータプログラム

    Date applied: 特願:2006-302787  2006.11 

    Patent, Joint

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Awards 【 Display / hide

  • 社団法人情報処理学会 計算機アーキテクチャ研究会若手奨励賞

    澤田 純一,西 宏章, 2012.01, 社団法人情報処理学会計算機アーキテクチャ研究会, 「低遅延匿名化処理機構における情報損失度改善手法の提案」

    Type of Award: Award from Japanese society, conference, symposium, etc.

  • 社団法人情報処理学会CS賞

    石田慎一, 原島真悟, 鯉渕道紘, 川島英之, #H西宏章, 2011.07, 社団法人情報処理学会, 「コンテキストスイッチを利用したルータにおけるTCP ストリーム再構築のメモリ削減手法」

    Type of Award: Award from Japanese society, conference, symposium, etc.

  • 第144回SLDM研究会優秀発表学生賞

    石田慎一, 原島真悟, 川島英之, 鯉渕道紘, 西 宏章, 2010.09, 社団法人情報処理学会システムLSI設計技術研究会, 「パケットデータ管理基盤における情報抽出処理の効率化技法」

    Type of Award: Award from Japanese society, conference, symposium, etc.

  • 社団法人情報処理学会ユビキタスコンピューティング研究会優秀論文賞

    上吉 悠人,峰 豪毅,西 宏章, 2008.07, 「クラスタ型エネルギーマネジメントに向けた大学キャンパスのエネルギー計測システム」

    Type of Award: Award from Japanese society, conference, symposium, etc.

  • 財団法人ファナックFAロボット財団論文賞

    水落 麻里子,辻 俊明,大西 公平,西 宏章, 2008.03, マルチレートサンプリング手法を用いた加速度制御系の実現

    Type of Award: Award from publisher, newspaper, foundation, etc.

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Other 【 Display / hide

  • 2014年

     View Details

    ITU-T Focus Group - Smart Sustainable City

  • 2010年

     View Details

    IEEE2030 Standard

 

Courses Taught 【 Display / hide

  • SEMINAR IN SYSTEM DESIGN ENGINEERING

    2025

  • MULTI-MEDIA SYSTEMS DESIGN

    2025

  • MACHINE LEARNING SYSTEM DESIGN

    2025

  • LABORATORIES IN SYSTEM DESIGN ENGINEERING 2)

    2025

  • INDEPENDENT STUDY ON SCIENCE FOR OPEN AND ENVIRONMENTAL SYSTEMS

    2025

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Social Activities 【 Display / hide

  • 一般社団法人 おもてなしICT協議会 代表理事

    2016.05
    -
    2019.03
  • CANDER TPC member

    2016
    -
    Present
  • 総務省「本格的なIoT時代に対応した情報通信技術の研究開発・標準化動向及びその推進のための調査・分析」事業における「IoT利活用のための共通ICT基盤の研究開発・標準化動向の調査検討グループ」グループ長

    2015.11
    -
    2016.03
  • FPGA4GPC Program Committee Member

    2015.03
    -
    Present
  • NEDO ノーマリーオフコンピューティングの普及検討委員会 委員

    2015.02
    -
    2015.05

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Memberships in Academic Societies 【 Display / hide

  • 電信通信情報学会シニア会員, 

    2016.12
    -
    Present
  • 情報処理学会計算機アーキテクチャ研究会, 

    2009.09
    -
    Present
  • 建築学会, 

    2008.10
    -
    Present
  • 電子情報通信学会コンピュータシステム研究専門委員会, 

    2005.05
    -
    Present
  • 計測自動制御学会, 

    2003.05
    -
    Present

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Committee Experiences 【 Display / hide

  • 2017.11
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    Present

    IEEE 2668 (IDEX) Standards Committee Member, IEEE 2668 (IDEX) Standards Committee Member

  • 2017.11
    -
    Present

    IEEE P21451-1-6 Standards Committee Member, IEEE P21451-1-6 Standards Committee Member

  • 2017.10
    -
    Present

    IEEE P1451.0 Standards Committee Member, IEEE P1451.0 Standards Committee Member

  • 2017.10
    -
    Present

    IEEE P1451-99 Standards Committee Member, IEEE P1451-99 Standards Committee Member

  • 2017.06
    -
    Present

    Urban Technology Alliance, Urban Technology Alliance

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