Mr. Mizuki Kasuya | Reliability Engineering | Best Researcher Award

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.

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🎓 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.

Dr. Eduardo Garcia Magraner | Fabrication | Best Researcher Award

Ford España SL, Spain

Dr. Eduardo García Magraner is a seasoned expert in industrial engineering with over three decades of experience, primarily with Ford Motor Company. His work spans roles from maintenance supervision to manufacturing management, focusing on automation, predictive maintenance, and cybersecurity. A distinguished professional, he has been recognized globally for his contributions to enhancing manufacturing efficiency and safety. Dr. García holds a Ph.D. in Computer Engineering and Industrial Production with an "Outstanding Cum Laude" distinction and has been instrumental in driving innovation and productivity in industrial settings.

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Education🎓

Dr. García’s educational journey is extensive and multidisciplinary, beginning with vocational training in Electrical Assistance and Telecommunications Electronics. His expertise further expanded at Ford Spain's Apprentice School, where he specialized as an Electromechanical Technician. He later pursued a degree as an Industrial Technical Engineer, followed by numerous certifications including Lean Six Sigma (Green Belt & Black Belt) and multiple postgraduate master's degrees in Occupational Risk Prevention, Integrated Management Systems, and Human Resources. His academic peak was attained with a Ph.D. in Computer Engineering and Industrial Production from University CEU Cardenal Herrera.

Professional Experience🛠️

Dr. García's illustrious career at Ford spans various technical and managerial positions. Starting as an Electromechanical Maintenance Operator, he ascended through the ranks to become Manufacturing Manager overseeing Body, Stamping, and Assembly plants. His expertise in equipment engineering, automation, and production supervision has contributed to significant improvements in efficiency and productivity at Ford’s Valencia facilities. In recent years, he has taken on critical roles in cybersecurity, serving as the Single Point of Contact (SPOC) for Ford’s Global Manufacturing Cybersecurity Program.

Research Interests🔬

Predictive Maintenance & Industrial IoT: Developing real-time systems for enhanced equipment maintenance.

Automation and Robotics: Improving efficiency in production lines using AI-driven solutions.

Cybersecurity in Manufacturing: Ensuring robust security frameworks for industrial processes.

Energy Efficiency & Sustainable Manufacturing.

Awards & Recognitions🏆

Henry Ford Technical Award for IIoT Predictive Maintenance (2019).

Global Manufacturing Technical Excellence Awards for innovative Industry 4.0 solutions (2020, 2022).

Best Industrial Paper Award at ICINCO (2020).

Presidents Health & Safety Global Award for safety innovations (2022).

Angel Herrera Award for the best national research (2024).

Advanced Factories of the Future Award for leadership in digital transformation (2021).

Publications Top Notes📚

I3oT (Industrializable Industrial Internet of Things) Tool for Continuous Improvement in Production Line Efficiency by Means of Sub-Bottleneck Detection Method Machines, 2024-10-29, Contributors: Javier Llopis, Antonio Lacasa, Nicolás Montés, Eduardo Garcia. Link

Survival 1.0: A Novel Autonomous Industrial Mobile Warehouse (AIMW) for Industrial Environments Applied Sciences, 2024-10-25, Contributors: Eduardo Garcia, Miguel Montaña, Nicolás Montés. Link

Virtual Sensor of Gravity Centres for Real-Time Condition Monitoring of an Industrial Stamping Press in the Automotive Industry Sensors, 2023-07-21, Contributors: Ivan Peinado-Asensi, Nicolás Montés, Eduardo García. Link

Influence of Mechanical Failures of the Welding Gun on the Magnetic Field Generated in the Measurement of Misalignment
Book Chapter, 2022, Contributors: D. Ibañez, E. García, J. Soret, J. Martos. Link

Mini-Sym 4.0: A Novel Simulation Tool to Calculate Real-Time Production Line Productivity Book Chapter, 2022, Contributors: E. Garcia, N. Montes, N. Rosillo, J. Llopis, A. Lacasa. Link