The University of Electro-Communications, Japan.
Mizuki Kasuya is a PhD candidate at the University of Electro-Communications, Tokyo, specializing in reliability engineering. His research focuses on optimizing maintenance policies for complex systems, improving infrastructure resilience and cost efficiency. Kasuya has published multiple peer-reviewed articles, including in Mathematics, and contributed to two book chapters published by Springer. His work has demonstrated that cost-efficient maintenance strategies can significantly reduce operational costs (e.g., 9.9% savings for wind turbine systems). Internationally recognized for his contributions, he has received three awards, including the Outstanding Young Scientist Award from the IEEE Reliability Society Japan Joint Chapter.
Profile
🎓 Education
Currently, a PhD Candidate at the University of Electro-Communications, Tokyo, specializing in advanced engineering and technology research. Previously completed a Master’s Degree in Reliability Engineering and a Bachelor’s Degree in Engineering from the same institution. With a strong foundation in engineering principles and reliability analysis, their academic journey focuses on enhancing system durability, optimizing engineering designs, and improving technological resilience. Their research contributes to cutting-edge developments in engineering reliability, with a particular emphasis on innovative methodologies and practical applications in technology-driven industries.
💼 Experience
Mr. Mizuki Kasuya, a PhD researcher at the University of Electro-Communications, Tokyo, specializes in developing optimal maintenance policies for complex systems through probabilistic modeling and optimization research. He has collaborated with a leading office equipment company to optimize replacement cycles and conducted data-driven predictive maintenance analysis to enhance system efficiency.
🔬 Research Interests
Reliability Engineering – Developing maintenance policies for critical systems
Optimization for Maintenance – Using stochastic models for cost-effective strategies
Condition-Based Maintenance – Integrating component dependencies in predictive maintenance
Infrastructure Resilience – Enhancing the lifespan of industrial assets
🏆 Awards & Honors
Outstanding Young Scientist Award – IEEE Reliability Society Japan Joint Chapter
Best Research Paper Award – International Conference on Reliability Engineering
Academic Excellence Award – University of Electro-Communications
📚 Selected Publications
📖 Book Chapters
Kasuya, M., & Jin, L. (2023). Optimal Maintenance Policy for a Two-State System with Population Heterogeneity Under Partial Observation. In Quantitative Demography and Health Estimates: Healthy Life Expectancy, Templates for Direct Estimates from Life Tables and other Applications (pp. 235-245). Cham: Springer Nature Switzerland.
Jin, L., & Kasuya, M. (2025). Two Approaches to Condition-Based Maintenance Optimization for Deteriorating Systems. In Reliability Analysis and Maintenance Optimization of Complex Systems: Essays in Honor of Professor Won Young Yun on his 65th Birthday (pp. 143-159). Cham: Springer Nature Switzerland.
📝 Journal Articles
Kasuya, M., & Jin, L. (2023). Condition-based maintenance for a Wiener deterioration process under consideration of heterogeneity in spare unit population. Total Quality Science, 9(1), 29-41.
Ogura, N., Kasuya, M., & Jin, L. (2025). Joint Optimal Policy for Maintenance, Spare Unit Selection and Inventory Control Under a Partially Observable Markov Decision Process. Mathematics, 13(3), 406.
Kasuya, M., & Jin, L. (2025). Structural Properties of Optimal Maintenance Policies for k-out-of-n Systems with Interdependence Between Internal Deterioration and External Shocks. Mathematics, 13(5), 716.