Ohkubo Masato

オオクボマサト | Ohkubo Masato

Affiliation and department：
Job title： Lecturer

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

Research theme for competitive and other funds (6)：

2021 - 2026 Development of noise-robust statistical anomaly detection procedures for condition-based maintenance
2018 - 2021 Development of practical anomaly detection based on robust sparse modeling
2018 - 2019 Development of robust sparse graphical modeling method for anomaly detection
2017 - 2018 Establishment of statistical anomaly detection procedure based on sparse modeling
2016 - 2017 Development and improvement of practical statistical anomaly detection method for small sample data

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Papers (25)：

Kosuke Oyama, Ohkubo Masato, Yasushi Nagata. Dynamic Robust Parameter Design Using Response Surface Methodology based on Generalized Linear Model. Quality Innovation Prosperity. 2024. 28. 2
Ryo Asano, Masato Ohkubo, Shinto Eguchi, Yasushi Nagata. The T-method with the application of sparse modeling. Total Quality Science. 2023. 9. 1. 1-7
Riku Ohta, Masato Ohkubo, Hiroki Iwamoto, Yasushi Nagata. Taguchi’s RT method with sparse principal component analysis. Proceedings of Asian Network for Quality (ANQ) Congress 2023, Ho Chi Minh city. 2023. 1-7
Ryo Asano, Masato Ohkubo, Yasushi Nagata. A Consideration of the Recognition Taguchi Method Using High-Dimensional Principal Component Analysis. Total Quality Science. 2023. 8. 2. 70-76
Kentaro Honma, Masato Ohkubo, Shinto Eguchi, Yasushi Nagata. Mahalanobis-Taguchi Method for Anomaly Detection and Classification. Total Quality Science. 2022. 8. 1. 1-13

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MISC (5)：

Masato OHKUBO. THE MAHALANOBIS-TAGUCHI SYSTEM BASED ON STATISTICAL MODELING. The Fifth International Conference on the Interface between Statistics and Engineering (ICISE). 2019
Ayano KANBASHI, Masato OHKUBO, Yasushi NAGATA. Estimation of the Effects of Parent-child Relationships on Children’s Academic Achievement. The Japanese Journal of Behaviormetrics. 2019. 46. 1. 1-10
Masato OHKUBO. The Mahalanobis-Taguchi system based on statistical modeling. the 9th Conference of Transdisciplinary Federation of Science and Technology. 2018
Masato OHKUBO. The Mahalanobis-Taguchi Method Based on Graphical Modeling. Japanese Joint Statistical Meeting 2018. 2018
Masato OHKUBO. The Mahalanobis-Taguchi Method Based on Sparse Modeling. 11th Japan Statistical Society (JSS) Spring Meeting. 2017

Lectures and oral presentations (20)：

The T-method with the application of sparse modeling
(Asian Network for Quality (ANQ) Congress 2022, Beijing 2022)
A Consideration of the Recognition Taguchi Method Using High-Dimensional Principal Component Analysis
(Asian Network for Quality (ANQ) Congress 2021, Singapore 2021)
Mahalanobis-Taguchi Method for Anomaly Detection and Classification
(Asian Network for Quality (ANQ) Congress 2021 2021)
Anomaly detection for noisy data with the Mahalanobis-Taguchi system
(22th QMOD conference on Quality and Service Sciences ICQSS 2019)
Anomaly detection with Mahalanobis-Taguchi method based on robust sparse graphical modeling
(119th Research meeting of the Japanese Society for Quality Control 2019)

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Education (3)：

2016 - 2018 Waseda University Graduate School of Creative Science and Engineering Doctoral Program in Department of Industrial and Management Systems Engineering
2011 - 2013 Waseda University Graduate School of Creative Science and Engineering Department of Industrial and Management Systems Engineering
2007 - 2011 Waseda University School of Creative Science and Engineering Department of Industrial and Management Systems Engineering

Professional career (1)：

Work history (5)：

2019/04 - 現在 Waseda University Institute of Data Science Adjunct Researcher
2019/04 - 現在 Toyo University Faculty of Business Administration, Department of Business Administration Lecturer
2018/04 - 2019/03 Waseda University Department of Industrial and Management Systems Engineering, School of Creative Science and Engineering Assistant Professor
2016/04 - 2018/03 Waseda University Department of Industrial and Management Systems Engineering, School of Creative Science and Engineering Research Associate
2013/04 - 2016/03 Asahi Kasei Corporation Information Systems Department

Awards (10)：

2023/10 - ANQ Congress 2023 Best Paper Award
2021/10 - ANQ Congress 2021 Best Paper Award
2019/10 - ANQ Congress 2019 Best Paper Award
2018/11 - Japanese Society for Quality Control JSQC Activity Acknowledgment
2018/09 - Japanese Society of Applied Statistics JSAS Best Paper Award for Young Researcher

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Association Membership(s) (3)：

Japan Industrial Management Association (JIMA) , Japanese Society of Applied Statistics (JSAS) , Japanese Society for Quality Control (JSQC)

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