معرفی
Yasushi Nagata is a Professor at Waseda University's School of Creative Science and Engineering. With a Doctor of Engineering from Osaka University, he specializes in statistical quality control, Taguchi methods, and multivariate analysis.
- Key affiliations:
- Japan Society for Quality Control
- Japan Statistical Society
- Japan Behaviormetrics Society
Research Interests: His work focuses on advancing Taguchi's robust parameter design, Mahalanobis-Taguchi systems, and statistical anomaly detection. He has developed novel methods for handling missing data, high-dimensional datasets, and non-normal distributions in quality control contexts.
Scientific Awards: He has received multiple
- Best Paper Awards at ANQ Congresses (2017-2024)
- Deming Prize for Individuals (2019)
- Waseda University Teaching Awards (2018, 2022)
- Nikkei Quality Control Literature Prizes
Publications: His recent studies examine non-stationary extreme precipitation data, robust parameter design for multilevel systems, and EM-λ algorithm integration with MT methods. These works bridge theoretical statistics with practical engineering applications.
