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J-GLOBAL ID：201301034043950269 Update date: Feb. 27, 2025

Mikawa Kenta

ミカワケンタ | Mikawa Kenta

Affiliation and department：
Job title： Research Associate

Research field (2)： Safety engineering , Social systems engineering

Research keywords (4)： Data Science , machine learning , pattern recognition , regularization

Research theme for competitive and other funds (6)：

2023 - 2026 Construction of a relational data analysis model integrating attribute information and its application to marketing analysis
2021 - 2025 データ駆動型社会の基盤をなす次世代実験計画技術の開発と実証的評価
2016 - 2020 Establishment of Automatic Word Segmentation Technology from Large-scale Text Data Independent of Language
2014 - 2017 Fundamental study on business analytics technologies on big data era
2014 - 2017 A Study on Large Scale Data Analysis Method and Theoretical Evaluation based on Distance Metric Learning

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Papers (45)：

K. Mikawa, M. Kobayashi, T. Sasaki, A. Manada. Integrating Attribute Information into Relational Data: a Latent Structure Approach. Proceedings of IEEE International Conference on Consumer Technology - Pacific 2025. 2025
Kenta Mikawa, Manabu Kobayashi, Tomoyuki Sasaki, Akiko Manada. A study on latent structural models for binary relational data with attribute information. Nonlinear Theory and Its Applications, IEICE. 2024. 15. 2. 335-353
Mikawa Kenta, Kobayashi Manabu, Sasaki Tomoyuki, Manada Akiko. A Study on Latent Structural Models for Binary Relational Data with Attribute Information. Proceedings of 2023 International Symposium on Nonlinear Theory and Its Applications. 2023. 198-201
Kenta Mikawa, Manabu Kobayashi, Masayuki Goto, Shigeichi Hirasawa. Learning and Estimation of Latent Structural Models Based on between-Data Metrics. 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC). 2022
AOKI Shogo, MIKAWA Kenta, GOTO Masayuki. Web Browsing History-based Attribute Labeling for Consumer Targeting. Journal of Japan Industrial Management Association. 2022. 73. 1. 1-14

Books (1)：

Lectures and oral presentations (215)：

事前学習済みモデルを用いた転移学習によるExtract Methodリファクタリング予測の精度向上
(第31回ソフトウェア工学の基礎ワークショップ 2024)
時系列関係データに対する Stochastic Block Model の拡張と購買データへの適用に関する一考察
(日本経営工学会 2024年秋季大会 2024)
Semi-supervised signed stochastic block modelの複数ドメインへの拡張に関する一考察
(日本経営工学会 2024年秋季大会 2024)
High-dimensional Supervised Embedding and Visualization Method using von Mises Distribution
(The 22nd Asian Network for Quality Congress (ANQ Congress 2024) 2024)
Online Flipped Conference Based Data Science Education Program and Its Educational Effectiveness in Multi-University Collaboration
(The 7th Asian Conference of Management Science and Application (ACMSA 2023) 2023)

Education (2)：

2010 - 2013 Graduate school of Waseda University School of Creative Science and Engineering Department of Industrial and Management Systems Engineering
2005 - 2007 Musashi Institute of Technology Graduate School of Environmental and Information Studies Environmental and Information Studies

Work history (4)：

2022/04 - 現在 Tokyo City University Faculty of Informatics Department of Information Systems Associate professor
2019/04 - 2022/03 Shonan Institute of Technology Faculty of Engineering Associate professor
2016/04 - 2019/03 Shonan Institute of Technology Faculty of Engineering lecturer
2013/04 - 2016/03 Waseda University Faculty of Creative and Engineering research associate

Committee career (4)：

Awards (4)：

2022/08 - コンピュータ利用教育学会(CIEC) 2022 PCカンファレンス優秀論文賞反転ゼミ形式による多大学で連携するオンライン研究交流の試み - データサイエンス領域のオンラインゼミを事例として -
2021/03 - Asian Journal of Management Science and Applications Encouragement Paper Award of AAMSA2020 Factorisation machines considering the latent characteristics behind target data
2016/05 - Japan Industrial Management Association Best Paper Award Accurate Parameter Estimation Based on Latent Class Model Estimated by Combining Both Evaluation and Purchase Histories
2015/05 - Japan Industrial Management Association Best Paper Award 大規模テキストデータの分類体系化のための機械学習に基づく半自動分類法の提案

Association Membership(s) (3)：

日本経営工学会 , 電子情報通信学会 , IEEE

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