Mr. Mizuki Kasuya | Reliability Engineering | Best Researcher Award

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.

Profile

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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.

đź’Ľ 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

đź“– 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.

 

 

 

Mr. Muhammad Ahsan Saleem | Additive Manufacturing | Best Researcher Award

Mr. Muhammad Ahsan Saleem | Additive Manufacturing | Best Researcher Award

Nanjing University of Science and Technology, China

Muhammad Ahsan Saleem is a dedicated Mechatronics Engineer and interdisciplinary researcher based in Nanjing, China. He specializes in leveraging his creativity, technical expertise, and collaborative mindset to solve complex engineering challenges, with a focus on cutting-edge technologies such as 3D printing, machine learning, and advanced manufacturing techniques.

Profile

Scopus

Education 📚

Muhammad Ahsan Saleem is a highly accomplished engineer pursuing his Doctor of Engineering in Mechanical Engineering at Nanjing University of Science and Technology (NUST), China (2020–Present). His doctoral research emphasizes advanced manufacturing techniques, including 3D printing and machine learning applications in mechanical engineering.

Previously, he earned his Master of Engineering in Mechanical Engineering from NUST, China (2015–2018), where he deepened his expertise in precision engineering and experimental design, particularly focusing on innovative solutions for multi-material fabrication.

His academic journey began with a Bachelor of Science in Mechatronics Engineering from the University of Engineering and Technology (UET), Pakistan (2009–2013). During his undergraduate years, he explored interdisciplinary approaches to mechanical systems, robotics, and automation, laying a solid foundation for his advanced studies.

Experience đź’Ľ

Researcher | Nanjing University of Science and Technology, China (2020–Present)
Muhammad Ahsan Saleem is actively engaged in cutting-edge research focused on 3D printing, inkjet technologies, and the application of machine learning to optimize manufacturing processes. He has developed innovative experimental setups to analyze and enhance jetting behaviors for high-viscosity inks, leading to advancements in multi-material 3D printing for functional electronics such as resistors.

Mechatronics Engineer | Enginesound Automation Technology, Shanghai, China (2019–2020)
At Enginesound Automation Technology, he designed advanced calibration devices for textile machinery, utilizing Micro-Epsilon capacitive sensors. He also developed Android applications that integrated Bluetooth technologies to enable wireless data transfer and seamless system connectivity, showcasing his ability to bridge mechanical systems with digital solutions.

Trainee Engineer | Attock Refinery Limited, Pakistan (2013–2015)
During his tenure at Attock Refinery Limited, Muhammad ensured HVAC systems adhered to engineering standards and codes, maintaining precise documentation of processes. His role emphasized the importance of compliance and quality control in industrial systems.

Research Interests 🔬

Advanced Manufacturing: 3D Printing and Inkjet Technologies

Muhammad Ahsan Saleem specializes in exploring innovative approaches to 3D printing, focusing on inkjet-based technologies. His work emphasizes optimizing jetting behaviors for high-viscosity inks and advancing multi-material printing techniques, enabling the creation of complex functional components.

Machine Learning Applications in Engineering

He integrates machine learning algorithms into experimental and data-driven frameworks to enhance manufacturing precision. This includes predicting printing outcomes, optimizing parameters, and automating processes for greater efficiency and accuracy.

Structural Analysis of Multi-Material Components

Ahsan conducts structural investigations of multi-material components produced via advanced manufacturing methods. His expertise includes analyzing material properties and ensuring precision through techniques like scanning electron microscopy (SEM) and energy dispersive spectroscopy (EDS).

Functional Electronics and Material Science

His research also focuses on the development of functional electronics, such as resistors, through innovative material compositions. By combining conductive and insulating materials, he achieves precise resistivity levels and enhances the performance of printed electronic devices.

Awards & Certifications 🏆

Computer Vision and Image Processing Fundamentals (edX | IBM, 2024)

Machine Learning with Python (edX | IBM, 2022)

Python Data Structures (Coursera | University of Michigan, 2021)

Chinese for HSK 2 (Coursera | Peking University, 2021)

Registered Engineer (Pakistan Engineering Council, 2014)

Publications 📝

"A Novel Data-Driven Formulation for Predicting Jetting States and Printing Zones of High-Viscosity Nano-Silver Ink in Inkjet-Based 3D Printing" (Precision Engineering, November 2024, In Press). Link

"Influence of Silicon Carbide on Direct Powder Bed Selective Laser Process (Sintering/Melting) of Alumina" Published in Materials (2022, 15[2], 637). Cited by: 09 articles. Link

"Quantized Event-Triggered Feedback Control under Fuzzy System with Time-Varying Delay and Actuator Fault" Published in Nonlinear Analysis: Hybrid Systems (2020, Volume 35). Cited by: 16 articles. Link