Updated on 2025/05/05

写真a

 
CONG, Ruichen
 
Affiliation
Faculty of Human Sciences, School of Human Sciences
Job title
Assistant Professor(without tenure)
Degree
Bachelor of Arts in Human Sciences ( 2020.03 Waseda University )
Master of Arts in Human Sciences ( 2022.03 Waseda University )
Doctor of Human Sciences ( 2025.03 Waseda University )

Research Experience

  • 2025.04
    -
    Now

    Tokyo City University   Guest Lecturer

  • 2025.04
    -
    Now

    Waseda University   Faculty of Human Sciences   Assistant Professor

  • 2022.04
    -
    2025.03

    Waseda University   School of Human Sciences   Coach

  • 2019.04
    -
    2025.03

    Waseda University   Global Education Center

  • 2017.04
    -
    2022.03

    Waseda University   School of Human Sciences

Education Background

  • 2022.04
    -
    2025.03

    Waseda University   Graduate School of Human Sciences  

  • 2020.04
    -
    2022.03

    Waseda University   Graduate School of Human Sciences  

  • 2016.04
    -
    2020.03

    Waseda University   School of Human Sciences  

Professional Memberships

  • 2024.01
    -
    Now

    IEEE Communication Society

  • 2022.09
    -
    Now

    Information Processing Society of Japan (IPSJ)

  • 2022.09
    -
    Now

    The Japanese Society for Artificial Intelligence (JSAI)

  • 2022.06
    -
    Now

    IEEE Computer Society

  • 2022.06
    -
    Now

    IEEE

Research Areas

  • Learning support system / Intelligent informatics / Human interface and interaction / Life, health and medical informatics

Awards

  • 第65回日本社会医学会総会 研究奨励賞

    2024.08   日本社会医学会  

  • 海外渡航旅費援助

    2023.06   公益財団法人 電気通信普及財団  

  • 大川功一般奨学金

    2021.07   早稲田大学  

 

Papers

  • Exploratory and Interpretable Approach to Estimating Latent Health Risk Factors Without Using Domain Knowledge

    Ruichen Cong, Shoji Nishimura, Atsushi Ogihara, Qun Jin

    Big Data Mining and Analytics   8 ( 2 ) 447 - 457  2025.04  [Refereed]

    Authorship：Lead author

    DOI

  • Analyzing Lifestyle and Behavior with Causal Discovery in Health Data from Wearable Devices and Self-Assessments

    Jing Zhang, Ruichen Cong, Ou Deng, Yuxi Li, Keishin Lam, Qun Jin

    2024 IEEE International Conference on E-health Networking, Application & Services (HealthCom)     1 - 6  2024.11  [Refereed]

    DOI

  • Multiple feature selection based on an optimization strategy for causal analysis of health data

    Ruichen Cong, Ou Deng, Shoji Nishimura, Atsushi Ogihara, Qun Jin

    Health Information Science and Systems   12 ( 1 )  2024.11  [Refereed]

    Authorship：Lead author

    　View Summary

    Abstract

    Purpose

    Recent advancements in information technology and wearable devices have revolutionized healthcare through health data analysis. Identifying significant relationships in complex health data enhances healthcare and public health strategies. In health analytics, causal graphs are important for investigating the relationships among health features. However, they face challenges owing to the large number of features, complexity, and computational demands. Feature selection methods are useful for addressing these challenges. In this paper, we present a framework for multiple feature selection based on an optimization strategy for causal analysis of health data.

    Methods

    We select multiple health features based on an optimization strategy. First, we define a Weighted Total Score (WTS) index to assess the feature importance after the combination of different feature selection methods. To explore an optimal set of weights for each method, we design a multiple feature selection algorithm integrated with the greedy algorithm. The features are then ranked according to their WTS, enabling selection of the most important ones. After that, causal graphs are constructed based on the selected features, and the statistical significance of the paths is assessed. Furthermore, evaluation experiments are conducted on an experiment dataset collected for this study and an open dataset for diabetes.

    Results

    The results demonstrate that our approach outperforms baseline models by reducing the number of features while improving model performance. Moreover, the statistical significance of the relationships between features uncovered through causal graphs is validated for both datasets.

    Conclusion

    By using the proposed framework for multiple feature selection based on an optimization strategy for causal analysis, the number of features is reduced and the causal relationships are uncovered and validated.

    DOI

  • Prototype and test run of a system and smartphone application for monitoring the use of parking spaces for people with disabilities

      39 ( 4 ) 185 - 190  2024.11  [Refereed]

    DOI

  • Marital Status as a Moderator: Exploring the Relationship Between Social Engagement and Depressive Symptoms in China’s Older Adult Population

    J. Wu, Y. Ye, M. Zhang, R. Cong, Y. Chen, P. Yu, Q. Guo

    Biomedical and Environmental Sciences   37   1 - 16  2024.10  [Refereed]

  • Determining Important Features in Multidimensional Health Data for Individualized Precision Healthcare

    Ruichen Cong, Jianlun Wu, Shoji Nishimura, Atsushi Ogihara, Qun Jin

    2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)    2023.11  [Refereed]

    Authorship：Lead author

    DOI

  • Multidimensional Data Integration and Analysis for Youth Health Care During the Covid-19 Pandemic

    Jianlun Wu, Yaping Ye, Yuxi Li, Ruichen Cong, Yishan Bian, Yuerong Chen, Kiichi Tago, Shoji Nishimura, Atsushi Ogihara, Qun Jin

       2023.07  [Refereed]

    Authorship：Lead author

    DOI

  • Multi-ledger Coordinating Mechanism by Smart Contract for Individual-Initiated Trustworthy Data Sharing

    Yenjou Wang, Ruichen Cong, Yixiao Liu, Kiichi Tago, Ruidong Li, Hitoshi Asaeda, Qun Jin

    HCI (35)     232 - 243  2023.07  [Refereed]

    Authorship：Lead author

    DOI

  • A Trustworthy Decentralized System for Health Data Integration and Sharing: Design and Experimental Validation

    Ruichen Cong, Yaping Ye, Jianlun Wu, Yuxi Li, Yuerong Chen, Yishan Bian, Kiichi Tago, Shoji Nishimura, Atsushi Ogihara, Qun Jin

       2023.07  [Refereed]

    Authorship：Lead author

    DOI

  • Infrared Distance Sensor-based Parking Space Reservation System for People with Disabilities

    Ruichen Cong, Shun Kanega, Nozomi Fujikawa

    2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)    2022.09  [Refereed]

    Authorship：Lead author

    DOI

  • Measurement and verification of cognitive load in multimedia presentation using an eye tracker

    Ruichen Cong, Kiichi Tago, Qun Jin

    Multimedia Tools and Applications    2022.06  [Refereed]

    Authorship：Lead author

    DOI

  • Secure Interoperation of Blockchain and IPFS Through Client Application Enabled by CP-ABE

    Ruichen Cong, Yixiao Liu, Yenjou Wang, Kiichi Tago, Ruidong Li, Hitoshi Asaeda, Qun Jin

        30 - 41  2022.06  [Refereed]

    Authorship：Lead author

    DOI

  • Individual-Initiated Auditable Access Control for Privacy-Preserved IoT Data Sharing with Blockchain

    Ruichen Cong, Yixiao Liu, Kiichi Tago, Ruidong Li, Hitoshi Asaeda, Qun Jin

    2021 IEEE International Conference on Communications Workshops (ICC Workshops)    2021.06  [Refereed]

    Authorship：Lead author

    DOI

  • Investigating Cognitive Load in Multimedia Presentation Using an Eye Tracker

    Ruichen Cong, Kiichi Tago, Qun Jin

    The International Conference on Big data, IoT, and Cloud Computing(BIC2020)    2020.08  [Refereed]

    Authorship：Lead author

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Presentations

  • Health Analytics to Estimate Latent Factors Using Causal Discovery

    CONG Ruichen  [Invited]

    International Symposium on Solving Health Challenges and Pursuit of Human Well-Being by Leveraging Empirical Knowledge and Emerging Technologies 

    Presentation date： 2025.03

    Event date：
    2025.03
    　
    　

  • Report on the Results of Traditional Medicine and Health Awareness Surveys in Japan, China and Korea

    CONG Ruichen, ZHANG Jing, XU Yinghan, OGIHARA Atsushi, NISHIMURA Shoji, JIN Qun  [Invited]

    International Symposium on Solving Health Challenges and Pursuit of Human Well-Being by Leveraging Empirical Knowledge and Emerging Technologies 

    Presentation date： 2025.03

    Event date：
    2025.03
    　
    　

  • 中国の動画サイトにおけるHPVワクチン関連動画のユーザーおよびコメント特性の分析

    徐 桜晗, 叢 瑞晨, 阪口 昌彦, 片山 佳代子, 金 群, 西村 昭治, 扇原 淳

    第65回日本社会医学会総会 

    Presentation date： 2024.08

    Event date：
    2024.08
    　
    　

  • データ連携・利活用による骨折予防に向けた取り組み

    池本 悟, 駒田 翔, 鄧 鴎, 徐 桜晗, 叢 瑞晨, 増田 幸夫, 青木 陽子, 赤根 歩, 黒澤 栄則, 宮本 雄司, 金 群, 西村 昭治, 扇原 淳

    第65回日本社会医学会総会 

    Presentation date： 2024.08

    Event date：
    2024.08
    　
    　

  • Analysis and Estimation of Latent Risk Factors Based on Wearable Device Data Using Causal Graphs

    R. Cong, J. Zhang, S. Nishimura, A. Ogihara, Q. Jin

    Waseda University-Zhejiang Chinese Medical University Joint International Symposium on the Innovative Solution for Super Aging Society 

    Presentation date： 2024.06

  • Discovery and estimation of latent risk factors in health data analysis

    R. Cong, J. Zhang, S. Nishimura, A. Ogihara, Q. Jin  [Invited]

    The 22nd ACM International Conference on Mobile Systems, Applications, and Services. (ACM MobiSys 2024), A3 Foresight The 8th Workshop on Intelligent IoT for Empowering the People’s Lifestyle and Well-being 

    Presentation date： 2024.06

    Event date：
    2024.06
    　
    　

  • Comprehensive Health Data Analysis Based on a Combination of Selected Multiple Features

    R. Cong, O. Deng, K. Tago, S. Nishimura, A. Ogihara, Q. Jin

    A3 Foresight Program The 7th Workshop on Intelligent IoT for Empowering the People’s Lifestyle and Well-being 

    Presentation date： 2024.02

    Event date：
    2024.02
    　
    　

  • Multidimensional Health Data Analysis for Individualized Healthcare

    Ruichen Cong, Jianlun Wu, Shoji Nishimura, Atsushi Ogihara, Qun Jin

    第1回早稲田大学データ科学研究交流会 

    Presentation date： 2023.09

  • Privacy-Preserving Multidimensional Health Data Sharing and Analysis in a Trustworthy Decentralized System

    Ruichen Cong, Kiichi Tago, Shoji Nishimura, Atsushi Ogihara, Qun Jin

    International Intelligent IoT Key Technology 2023 Joint Workshop 

    Presentation date： 2023.09

    Event date：
    2023.09
    　
    　

  • データ共有におけるブロックチェーンを用いた個人主導アクセスコントロールの提案

    叢 瑞晨, 王 妍柔, 金 群

    電子情報通信学会第21回ICN研究会 

    Presentation date： 2022.05

  • 個人主導のアクセスコントロールによる健康データの共有・利活用

    叢 瑞晨, 王 妍柔, 多胡 輝一, 金 群

    令和4年度JSPS・A3フォーサイト事業・高齢者の健康増進に資する知能IoT技術セミナー 

    Presentation date： 2022.05

  • A System for Grasping the Use Situation of Parking Area Reserved for Person with Disabilities and Barrier-free Lavatory

    Shun Kanega, Nozomi Fujikawa, Ruichen Cong

    SAKURA SCIENCE Exchange Program Waseda University-Hangzhou Normal University On-line, Administered by The Japan Science and Technology Agency 

    Presentation date： 2021.12

  • Individual-Initiated Access Control for Privacy-Preserved Health Data Sharing in an Integrated Platform of Blockchain and IPFS Enhanced with CP-ABE

    Presentation date： 2021.08

  • Investigating Cognitive Load in Multimedia Presentation Using an Eye Tracker

    Ruichen Cong

    SAKURA SCIENCE Exchange Program Waseda University-Zhejiang Chinese Medical University On-line, Administered by The Japan Science and Technology Agency 

    Presentation date： 2020.12

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Research Projects

  • 周期性を考慮したマルチモーダルによる健康データの分析

    早稲田大学 人総研研究プロジェクト 

    Project Year :

    2024.04
    -
    2025.03
     

  • プライバシー保護強化と高信頼データ共有・利活用を可能にするアクセスコントロールの研究

    国立研究開発法人科学技術振興機構（JST） 早稲田オープン・イノベーション・エコシステム挑戦的研究プログラム（W-SPRING） 

    Project Year :

    2022.04
    -
    2025.03
     

  • 高品質・高信頼データ共有・利活用のためのインセンティブメカニズム

    早稲田大学人総研研究プロジェクト 

    Project Year :

    2023.04
    -
    2024.03
     

  • 障害者等用駐車区画・バリアフリートイレの利用状況把握システムの開発

    2022年度ECOMO交通バリアフリー研究・活動助成対象事業 

    Project Year :

    2022.04
    -
    2023.03
     

  • データ共有における個人主導のアクセスコントロール仕組みの研究

    早稲田大学 人総研研究プロジェクト 

    Project Year :

    2022.04
    -
    2023.03
     

Misc

  • 障害者等用駐車区画およびバリアフリートイレの利用状況把握システムの提案と試作

    金賀 駿, 藤川 希美, 叢 瑞晨

    第24回日本福祉のまちづくり学会全国大会 (東北オンライン)    2021.10

    Research paper, summary (national, other academic conference)  

 

Teaching Experience

  • Data Science Literacy

    Tokyo City University  

    2025.04
    -
    Now
     

  • アルゴリズムとデータ構造（TA）

    2020.08
    -
    2022.08
     

  • ヒューマンコンピュターインタラクション (TA)

    2020.04
    -
    2022.03
     

  • 情報システム入門 (TA)

    2020.04
    -
    2022.03
     

  • データリテラシーI、II、Ⅲ (TA)

    2017.04
    -
    2020.07
     

  • 学生生活とセルフマネジメント (TA)

    2017.04
    -
    2020.03
     

  • スタディスキル (TA)

    2017.04
    -
    2020.03
     

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Academic Activities

  • Waseda University - Zhejiang Chinese Medical University Joint International Symposium on the Innovative Solution for Super Aging Society (Program committee member)

    Competition, symposium, etc.

    2024.06
    -
    　

  • The 22nd ACM International Conference on Mobile Systems, Applications, and Services. (ACM MobiSys 2024)

    Academic society, research group, etc.

    2024.06
    　
    　

  • 10th International Congress on Industrial and Applied Mathematics (ICIAM 2023 Tokyo), Student Volunteer

    Academic society, research group, etc.

    2023.08
    　
    　

  • IEEE International Conference on Communications (ICC 2022) IEEE Fourth International Workshop on Data Driven Intelligence for Networks and Systems (DDINS) Technical program committee member

    Academic society, research group, etc.

    2022.05
    　
    　

  • The 29th International Symposium on Quality of Service (IEEE/ACM IWQoS 2021), Student Volunteer

    Academic society, research group, etc.

    2021.06